Overview

Dataset statistics

Number of variables68
Number of observations7240
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.8 MiB
Average record size in memory544.0 B

Variable types

Numeric1
Categorical67

Alerts

Em qual área você trabalhou? is highly imbalanced (50.2%)Imbalance
Você possui disponibilidade pra trabalhar em casa? is highly imbalanced (62.9%)Imbalance
Qual sistema operacional utiliza? is highly imbalanced (51.8%)Imbalance
Você possui internet FIXA em casa? is highly imbalanced (61.2%)Imbalance
Id_Agente is uniformly distributedUniform
Id_Agente has unique valuesUnique

Reproduction

Analysis started2024-06-13 17:37:24.037455
Analysis finished2024-06-13 17:37:27.880721
Duration3.84 seconds
Software versionydata-profiling v4.8.3
Download configurationconfig.json

Variables

Id_Agente
Real number (ℝ)

UNIFORM  UNIQUE 

Distinct7240
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3620.5
Minimum1
Maximum7240
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size56.7 KiB
2024-06-13T17:37:29.050170image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile362.95
Q11810.75
median3620.5
Q35430.25
95-th percentile6878.05
Maximum7240
Range7239
Interquartile range (IQR)3619.5

Descriptive statistics

Standard deviation2090.1523
Coefficient of variation (CV)0.5773104
Kurtosis-1.2
Mean3620.5
Median Absolute Deviation (MAD)1810
Skewness0
Sum26212420
Variance4368736.7
MonotonicityStrictly increasing
2024-06-13T17:37:29.259204image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
4809 1
 
< 0.1%
4835 1
 
< 0.1%
4834 1
 
< 0.1%
4833 1
 
< 0.1%
4832 1
 
< 0.1%
4831 1
 
< 0.1%
4830 1
 
< 0.1%
4829 1
 
< 0.1%
4828 1
 
< 0.1%
Other values (7230) 7230
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
7240 1
< 0.1%
7239 1
< 0.1%
7238 1
< 0.1%
7237 1
< 0.1%
7236 1
< 0.1%
7235 1
< 0.1%
7234 1
< 0.1%
7233 1
< 0.1%
7232 1
< 0.1%
7231 1
< 0.1%

Cliente
Categorical

Distinct50
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size56.7 KiB
Cliente 6
804 
Cliente 10
530 
Cliente 30
517 
Cliente 25
460 
Cliente 3
457 
Other values (45)
4472 

Length

Max length10
Median length10
Mean length9.7265193
Min length9

Characters and Unicode

Total characters70420
Distinct characters17
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCliente 1
2nd rowCliente 2
3rd rowCliente 2
4th rowCliente 3
5th rowCliente 4

Common Values

ValueCountFrequency (%)
Cliente 6 804
 
11.1%
Cliente 10 530
 
7.3%
Cliente 30 517
 
7.1%
Cliente 25 460
 
6.4%
Cliente 3 457
 
6.3%
Cliente 27 404
 
5.6%
Cliente 15 314
 
4.3%
Cliente 17 286
 
4.0%
Cliente 2 278
 
3.8%
Cliente 14 270
 
3.7%
Other values (40) 2920
40.3%

Length

2024-06-13T17:37:29.453930image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
cliente 7240
50.0%
6 804
 
5.6%
10 530
 
3.7%
30 517
 
3.6%
25 460
 
3.2%
3 457
 
3.2%
27 404
 
2.8%
15 314
 
2.2%
17 286
 
2.0%
2 278
 
1.9%
Other values (41) 3190
22.0%

Most occurring characters

ValueCountFrequency (%)
e 14480
20.6%
C 7240
10.3%
l 7240
10.3%
i 7240
10.3%
n 7240
10.3%
t 7240
10.3%
7240
10.3%
1 2691
 
3.8%
2 2257
 
3.2%
0 1387
 
2.0%
Other values (7) 6165
8.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 70420
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 14480
20.6%
C 7240
10.3%
l 7240
10.3%
i 7240
10.3%
n 7240
10.3%
t 7240
10.3%
7240
10.3%
1 2691
 
3.8%
2 2257
 
3.2%
0 1387
 
2.0%
Other values (7) 6165
8.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 70420
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 14480
20.6%
C 7240
10.3%
l 7240
10.3%
i 7240
10.3%
n 7240
10.3%
t 7240
10.3%
7240
10.3%
1 2691
 
3.8%
2 2257
 
3.2%
0 1387
 
2.0%
Other values (7) 6165
8.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 70420
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 14480
20.6%
C 7240
10.3%
l 7240
10.3%
i 7240
10.3%
n 7240
10.3%
t 7240
10.3%
7240
10.3%
1 2691
 
3.8%
2 2257
 
3.2%
0 1387
 
2.0%
Other values (7) 6165
8.8%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size56.7 KiB
1 - Casa
5006 
1 - Campus
2234 

Length

Max length10
Median length8
Mean length8.6171271
Min length8

Characters and Unicode

Total characters62388
Distinct characters9
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1 - Casa
2nd row1 - Casa
3rd row1 - Casa
4th row1 - Casa
5th row1 - Casa

Common Values

ValueCountFrequency (%)
1 - Casa 5006
69.1%
1 - Campus 2234
30.9%

Length

2024-06-13T17:37:29.596368image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-13T17:37:29.750863image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
1 7240
33.3%
7240
33.3%
casa 5006
23.0%
campus 2234
 
10.3%

Most occurring characters

ValueCountFrequency (%)
14480
23.2%
a 12246
19.6%
1 7240
11.6%
- 7240
11.6%
C 7240
11.6%
s 7240
11.6%
m 2234
 
3.6%
p 2234
 
3.6%
u 2234
 
3.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 62388
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
14480
23.2%
a 12246
19.6%
1 7240
11.6%
- 7240
11.6%
C 7240
11.6%
s 7240
11.6%
m 2234
 
3.6%
p 2234
 
3.6%
u 2234
 
3.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 62388
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
14480
23.2%
a 12246
19.6%
1 7240
11.6%
- 7240
11.6%
C 7240
11.6%
s 7240
11.6%
m 2234
 
3.6%
p 2234
 
3.6%
u 2234
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 62388
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
14480
23.2%
a 12246
19.6%
1 7240
11.6%
- 7240
11.6%
C 7240
11.6%
s 7240
11.6%
m 2234
 
3.6%
p 2234
 
3.6%
u 2234
 
3.6%
Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size56.7 KiB
0 - Sem resposta
5033 
2 - De 1h à 1h30
712 
2 - De 30min à 1h
540 
2 - De 1h30 à 2h
523 
2 - Até 30min
 
314

Length

Max length17
Median length16
Mean length15.928177
Min length13

Characters and Unicode

Total characters115320
Distinct characters24
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0 - Sem resposta
2nd row0 - Sem resposta
3rd row0 - Sem resposta
4th row0 - Sem resposta
5th row0 - Sem resposta

Common Values

ValueCountFrequency (%)
0 - Sem resposta 5033
69.5%
2 - De 1h à 1h30 712
 
9.8%
2 - De 30min à 1h 540
 
7.5%
2 - De 1h30 à 2h 523
 
7.2%
2 - Até 30min 314
 
4.3%
2 - Acima de 2h 118
 
1.6%

Length

2024-06-13T17:37:29.888501image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-13T17:37:30.052696image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
7240
22.2%
0 5033
15.4%
sem 5033
15.4%
resposta 5033
15.4%
2 2207
 
6.8%
de 1893
 
5.8%
à 1775
 
5.4%
1h 1252
 
3.8%
1h30 1235
 
3.8%
30min 854
 
2.6%
Other values (3) 1073
 
3.3%

Most occurring characters

ValueCountFrequency (%)
25388
22.0%
e 11959
10.4%
s 10066
 
8.7%
- 7240
 
6.3%
0 7122
 
6.2%
m 6005
 
5.2%
t 5347
 
4.6%
a 5151
 
4.5%
S 5033
 
4.4%
r 5033
 
4.4%
Other values (14) 26976
23.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 115320
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
25388
22.0%
e 11959
10.4%
s 10066
 
8.7%
- 7240
 
6.3%
0 7122
 
6.2%
m 6005
 
5.2%
t 5347
 
4.6%
a 5151
 
4.5%
S 5033
 
4.4%
r 5033
 
4.4%
Other values (14) 26976
23.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 115320
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
25388
22.0%
e 11959
10.4%
s 10066
 
8.7%
- 7240
 
6.3%
0 7122
 
6.2%
m 6005
 
5.2%
t 5347
 
4.6%
a 5151
 
4.5%
S 5033
 
4.4%
r 5033
 
4.4%
Other values (14) 26976
23.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 115320
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
25388
22.0%
e 11959
10.4%
s 10066
 
8.7%
- 7240
 
6.3%
0 7122
 
6.2%
m 6005
 
5.2%
t 5347
 
4.6%
a 5151
 
4.5%
S 5033
 
4.4%
r 5033
 
4.4%
Other values (14) 26976
23.4%
Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size56.7 KiB
3 - Ensino Médio completo
2880 
3 - Ensino Superior cursando
1799 
3 - Ensino Superior concluído
1237 
3 - Ensino Superior incompleto
966 
3 - Pós-Graduação cursando
 
137
Other values (2)
 
221

Length

Max length30
Median length29
Mean length27.036188
Min length16

Characters and Unicode

Total characters195742
Distinct characters28
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3 - Ensino Superior incompleto
2nd row3 - Ensino Médio completo
3rd row3 - Ensino Superior cursando
4th row3 - Ensino Superior concluído
5th row3 - Ensino Médio completo

Common Values

ValueCountFrequency (%)
3 - Ensino Médio completo 2880
39.8%
3 - Ensino Superior cursando 1799
24.8%
3 - Ensino Superior concluído 1237
17.1%
3 - Ensino Superior incompleto 966
 
13.3%
3 - Pós-Graduação cursando 137
 
1.9%
3 - Pós-Graduação concluído 129
 
1.8%
0 - Sem resposta 92
 
1.3%

Length

2024-06-13T17:37:30.232986image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-13T17:37:30.393868image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
7240
20.2%
3 7148
19.9%
ensino 6882
19.2%
superior 4002
11.2%
médio 2880
 
8.0%
completo 2880
 
8.0%
cursando 1936
 
5.4%
concluído 1366
 
3.8%
incompleto 966
 
2.7%
pós-graduação 266
 
0.7%
Other values (3) 276
 
0.8%

Most occurring characters

ValueCountFrequency (%)
28602
14.6%
o 26482
13.5%
n 18032
 
9.2%
i 14730
 
7.5%
r 10298
 
5.3%
s 9268
 
4.7%
c 8514
 
4.3%
e 8032
 
4.1%
p 7940
 
4.1%
u 7570
 
3.9%
Other values (18) 56274
28.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 195742
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
28602
14.6%
o 26482
13.5%
n 18032
 
9.2%
i 14730
 
7.5%
r 10298
 
5.3%
s 9268
 
4.7%
c 8514
 
4.3%
e 8032
 
4.1%
p 7940
 
4.1%
u 7570
 
3.9%
Other values (18) 56274
28.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 195742
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
28602
14.6%
o 26482
13.5%
n 18032
 
9.2%
i 14730
 
7.5%
r 10298
 
5.3%
s 9268
 
4.7%
c 8514
 
4.3%
e 8032
 
4.1%
p 7940
 
4.1%
u 7570
 
3.9%
Other values (18) 56274
28.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 195742
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
28602
14.6%
o 26482
13.5%
n 18032
 
9.2%
i 14730
 
7.5%
r 10298
 
5.3%
s 9268
 
4.7%
c 8514
 
4.3%
e 8032
 
4.1%
p 7940
 
4.1%
u 7570
 
3.9%
Other values (18) 56274
28.7%
Distinct13
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size56.7 KiB
0 - Sem resposta
2992 
4 - Humanas
932 
4 - Saúde
764 
4 - Administração/Negócios
595 
4 - Gestão de Pessoas/Negócios
339 
Other values (8)
1618 

Length

Max length30
Median length26
Mean length15.023895
Min length6

Characters and Unicode

Total characters108773
Distinct characters39
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4 - Humanas
2nd row0 - Sem resposta
3rd row4 - Gestão de Pessoas/Negócios
4th row4 - Saúde
5th row0 - Sem resposta

Common Values

ValueCountFrequency (%)
0 - Sem resposta 2992
41.3%
4 - Humanas 932
 
12.9%
4 - Saúde 764
 
10.6%
4 - Administração/Negócios 595
 
8.2%
4 - Gestão de Pessoas/Negócios 339
 
4.7%
4 - TI 308
 
4.3%
4 - Comunicação 261
 
3.6%
4 - Engenharia 261
 
3.6%
4 - Direito 250
 
3.5%
4 - Marketing 159
 
2.2%
Other values (3) 379
 
5.2%

Length

2024-06-13T17:37:30.607741image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
7240
28.5%
4 4248
16.7%
0 2992
11.8%
sem 2992
11.8%
resposta 2992
11.8%
humanas 932
 
3.7%
saúde 764
 
3.0%
administração/negócios 595
 
2.3%
pessoas/negócios 339
 
1.3%
de 339
 
1.3%
Other values (9) 1957
 
7.7%

Most occurring characters

ValueCountFrequency (%)
18150
16.7%
s 10180
 
9.4%
e 9484
 
8.7%
a 8024
 
7.4%
- 7240
 
6.7%
o 5971
 
5.5%
m 4780
 
4.4%
t 4602
 
4.2%
r 4372
 
4.0%
4 4248
 
3.9%
Other values (29) 31722
29.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 108773
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
18150
16.7%
s 10180
 
9.4%
e 9484
 
8.7%
a 8024
 
7.4%
- 7240
 
6.7%
o 5971
 
5.5%
m 4780
 
4.4%
t 4602
 
4.2%
r 4372
 
4.0%
4 4248
 
3.9%
Other values (29) 31722
29.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 108773
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
18150
16.7%
s 10180
 
9.4%
e 9484
 
8.7%
a 8024
 
7.4%
- 7240
 
6.7%
o 5971
 
5.5%
m 4780
 
4.4%
t 4602
 
4.2%
r 4372
 
4.0%
4 4248
 
3.9%
Other values (29) 31722
29.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 108773
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
18150
16.7%
s 10180
 
9.4%
e 9484
 
8.7%
a 8024
 
7.4%
- 7240
 
6.7%
o 5971
 
5.5%
m 4780
 
4.4%
t 4602
 
4.2%
r 4372
 
4.0%
4 4248
 
3.9%
Other values (29) 31722
29.2%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size56.7 KiB
5 - Não
4838 
5 - Sim
2269 
0 - Sem resposta
 
133

Length

Max length16
Median length7
Mean length7.1653315
Min length7

Characters and Unicode

Total characters51877
Distinct characters16
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5 - Não
2nd row5 - Não
3rd row5 - Não
4th row5 - Não
5th row5 - Não

Common Values

ValueCountFrequency (%)
5 - Não 4838
66.8%
5 - Sim 2269
31.3%
0 - Sem resposta 133
 
1.8%

Length

2024-06-13T17:37:30.731279image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-13T17:37:30.846004image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
7240
33.1%
5 7107
32.5%
não 4838
22.1%
sim 2269
 
10.4%
0 133
 
0.6%
sem 133
 
0.6%
resposta 133
 
0.6%

Most occurring characters

ValueCountFrequency (%)
14613
28.2%
- 7240
14.0%
5 7107
13.7%
o 4971
 
9.6%
N 4838
 
9.3%
ã 4838
 
9.3%
S 2402
 
4.6%
m 2402
 
4.6%
i 2269
 
4.4%
e 266
 
0.5%
Other values (6) 931
 
1.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 51877
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
14613
28.2%
- 7240
14.0%
5 7107
13.7%
o 4971
 
9.6%
N 4838
 
9.3%
ã 4838
 
9.3%
S 2402
 
4.6%
m 2402
 
4.6%
i 2269
 
4.4%
e 266
 
0.5%
Other values (6) 931
 
1.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 51877
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
14613
28.2%
- 7240
14.0%
5 7107
13.7%
o 4971
 
9.6%
N 4838
 
9.3%
ã 4838
 
9.3%
S 2402
 
4.6%
m 2402
 
4.6%
i 2269
 
4.4%
e 266
 
0.5%
Other values (6) 931
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 51877
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
14613
28.2%
- 7240
14.0%
5 7107
13.7%
o 4971
 
9.6%
N 4838
 
9.3%
ã 4838
 
9.3%
S 2402
 
4.6%
m 2402
 
4.6%
i 2269
 
4.4%
e 266
 
0.5%
Other values (6) 931
 
1.8%
Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size56.7 KiB
0 - Sem resposta
4961 
6 - 1
1402 
6 - 2
647 
6 - 3 ou mais
 
230

Length

Max length16
Median length16
Mean length12.791575
Min length5

Characters and Unicode

Total characters92611
Distinct characters18
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0 - Sem resposta
2nd row0 - Sem resposta
3rd row0 - Sem resposta
4th row0 - Sem resposta
5th row0 - Sem resposta

Common Values

ValueCountFrequency (%)
0 - Sem resposta 4961
68.5%
6 - 1 1402
 
19.4%
6 - 2 647
 
8.9%
6 - 3 ou mais 230
 
3.2%

Length

2024-06-13T17:37:30.996275image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-13T17:37:31.138369image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
7240
26.7%
0 4961
18.3%
sem 4961
18.3%
resposta 4961
18.3%
6 2279
 
8.4%
1 1402
 
5.2%
2 647
 
2.4%
3 230
 
0.8%
ou 230
 
0.8%
mais 230
 
0.8%

Most occurring characters

ValueCountFrequency (%)
19901
21.5%
s 10152
11.0%
e 9922
10.7%
- 7240
 
7.8%
o 5191
 
5.6%
a 5191
 
5.6%
m 5191
 
5.6%
t 4961
 
5.4%
0 4961
 
5.4%
p 4961
 
5.4%
Other values (8) 14940
16.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 92611
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
19901
21.5%
s 10152
11.0%
e 9922
10.7%
- 7240
 
7.8%
o 5191
 
5.6%
a 5191
 
5.6%
m 5191
 
5.6%
t 4961
 
5.4%
0 4961
 
5.4%
p 4961
 
5.4%
Other values (8) 14940
16.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 92611
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
19901
21.5%
s 10152
11.0%
e 9922
10.7%
- 7240
 
7.8%
o 5191
 
5.6%
a 5191
 
5.6%
m 5191
 
5.6%
t 4961
 
5.4%
0 4961
 
5.4%
p 4961
 
5.4%
Other values (8) 14940
16.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 92611
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
19901
21.5%
s 10152
11.0%
e 9922
10.7%
- 7240
 
7.8%
o 5191
 
5.6%
a 5191
 
5.6%
m 5191
 
5.6%
t 4961
 
5.4%
0 4961
 
5.4%
p 4961
 
5.4%
Other values (8) 14940
16.1%
Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size56.7 KiB
7 - Básico
3668 
7 - Não tenho conhecimento em inglês
1406 
7 - Intermediário
1359 
7 - Avançado
463 
7 - Fluente
 
173

Length

Max length36
Median length10
Mean length16.65663
Min length10

Characters and Unicode

Total characters120594
Distinct characters31
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row7 - Intermediário
2nd row7 - Não tenho conhecimento em inglês
3rd row7 - Intermediário
4th row7 - Básico
5th row7 - Avançado

Common Values

ValueCountFrequency (%)
7 - Básico 3668
50.7%
7 - Não tenho conhecimento em inglês 1406
 
19.4%
7 - Intermediário 1359
 
18.8%
7 - Avançado 463
 
6.4%
7 - Fluente 173
 
2.4%
0 - Sem resposta 171
 
2.4%

Length

2024-06-13T17:37:31.294785image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-13T17:37:31.433176image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
7240
26.3%
7 7069
25.7%
básico 3668
13.3%
não 1406
 
5.1%
tenho 1406
 
5.1%
conhecimento 1406
 
5.1%
em 1406
 
5.1%
inglês 1406
 
5.1%
intermediário 1359
 
4.9%
avançado 463
 
1.7%
Other values (4) 686
 
2.5%

Most occurring characters

ValueCountFrequency (%)
20275
16.8%
o 11285
 
9.4%
i 9198
 
7.6%
e 9030
 
7.5%
n 7619
 
6.3%
- 7240
 
6.0%
7 7069
 
5.9%
c 6480
 
5.4%
s 5416
 
4.5%
á 5027
 
4.2%
Other values (21) 31955
26.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 120594
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
20275
16.8%
o 11285
 
9.4%
i 9198
 
7.6%
e 9030
 
7.5%
n 7619
 
6.3%
- 7240
 
6.0%
7 7069
 
5.9%
c 6480
 
5.4%
s 5416
 
4.5%
á 5027
 
4.2%
Other values (21) 31955
26.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 120594
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
20275
16.8%
o 11285
 
9.4%
i 9198
 
7.6%
e 9030
 
7.5%
n 7619
 
6.3%
- 7240
 
6.0%
7 7069
 
5.9%
c 6480
 
5.4%
s 5416
 
4.5%
á 5027
 
4.2%
Other values (21) 31955
26.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 120594
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
20275
16.8%
o 11285
 
9.4%
i 9198
 
7.6%
e 9030
 
7.5%
n 7619
 
6.3%
- 7240
 
6.0%
7 7069
 
5.9%
c 6480
 
5.4%
s 5416
 
4.5%
á 5027
 
4.2%
Other values (21) 31955
26.5%
Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size56.7 KiB
8 - Básico
3395 
8 - Não tenho conhecimento em espanhol
2703 
8 - Intermediário
763 
0 - Sem resposta
 
171
8 - Avançado
 
141

Length

Max length38
Median length17
Mean length21.381215
Min length10

Characters and Unicode

Total characters154800
Distinct characters29
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row8 - Intermediário
2nd row8 - Não tenho conhecimento em espanhol
3rd row8 - Não tenho conhecimento em espanhol
4th row8 - Não tenho conhecimento em espanhol
5th row8 - Básico

Common Values

ValueCountFrequency (%)
8 - Básico 3395
46.9%
8 - Não tenho conhecimento em espanhol 2703
37.3%
8 - Intermediário 763
 
10.5%
0 - Sem resposta 171
 
2.4%
8 - Avançado 141
 
1.9%
8 - Fluente 67
 
0.9%

Length

2024-06-13T17:37:31.598685image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-13T17:37:31.732425image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
7240
22.1%
8 7069
21.6%
básico 3395
10.4%
não 2703
 
8.3%
tenho 2703
 
8.3%
conhecimento 2703
 
8.3%
em 2703
 
8.3%
espanhol 2703
 
8.3%
intermediário 763
 
2.3%
0 171
 
0.5%
Other values (4) 550
 
1.7%

Most occurring characters

ValueCountFrequency (%)
25463
16.4%
o 17985
11.6%
e 15517
10.0%
n 11783
 
7.6%
c 8801
 
5.7%
h 8109
 
5.2%
i 7624
 
4.9%
- 7240
 
4.7%
8 7069
 
4.6%
s 6440
 
4.2%
Other values (19) 38769
25.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 154800
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
25463
16.4%
o 17985
11.6%
e 15517
10.0%
n 11783
 
7.6%
c 8801
 
5.7%
h 8109
 
5.2%
i 7624
 
4.9%
- 7240
 
4.7%
8 7069
 
4.6%
s 6440
 
4.2%
Other values (19) 38769
25.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 154800
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
25463
16.4%
o 17985
11.6%
e 15517
10.0%
n 11783
 
7.6%
c 8801
 
5.7%
h 8109
 
5.2%
i 7624
 
4.9%
- 7240
 
4.7%
8 7069
 
4.6%
s 6440
 
4.2%
Other values (19) 38769
25.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 154800
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
25463
16.4%
o 17985
11.6%
e 15517
10.0%
n 11783
 
7.6%
c 8801
 
5.7%
h 8109
 
5.2%
i 7624
 
4.9%
- 7240
 
4.7%
8 7069
 
4.6%
s 6440
 
4.2%
Other values (19) 38769
25.0%
Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size56.7 KiB
9 - Sim
3651 
9 - Não
2380 
9 - A empresa é o meu primeiro emprego
1038 
0 - Sem resposta
 
171

Length

Max length38
Median length7
Mean length11.657044
Min length7

Characters and Unicode

Total characters84397
Distinct characters20
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row9 - Não
2nd row9 - Sim
3rd row9 - Sim
4th row9 - Não
5th row9 - Não

Common Values

ValueCountFrequency (%)
9 - Sim 3651
50.4%
9 - Não 2380
32.9%
9 - A empresa é o meu primeiro emprego 1038
 
14.3%
0 - Sem resposta 171
 
2.4%

Length

2024-06-13T17:37:31.864539image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-13T17:37:32.003881image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
7240
25.7%
9 7069
25.1%
sim 3651
13.0%
não 2380
 
8.5%
a 1038
 
3.7%
empresa 1038
 
3.7%
é 1038
 
3.7%
o 1038
 
3.7%
meu 1038
 
3.7%
primeiro 1038
 
3.7%
Other values (4) 1551
 
5.5%

Most occurring characters

ValueCountFrequency (%)
20879
24.7%
m 7974
 
9.4%
- 7240
 
8.6%
9 7069
 
8.4%
e 6570
 
7.8%
i 5727
 
6.8%
o 5665
 
6.7%
r 4323
 
5.1%
S 3822
 
4.5%
p 3285
 
3.9%
Other values (10) 11843
14.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 84397
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
20879
24.7%
m 7974
 
9.4%
- 7240
 
8.6%
9 7069
 
8.4%
e 6570
 
7.8%
i 5727
 
6.8%
o 5665
 
6.7%
r 4323
 
5.1%
S 3822
 
4.5%
p 3285
 
3.9%
Other values (10) 11843
14.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 84397
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
20879
24.7%
m 7974
 
9.4%
- 7240
 
8.6%
9 7069
 
8.4%
e 6570
 
7.8%
i 5727
 
6.8%
o 5665
 
6.7%
r 4323
 
5.1%
S 3822
 
4.5%
p 3285
 
3.9%
Other values (10) 11843
14.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 84397
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
20879
24.7%
m 7974
 
9.4%
- 7240
 
8.6%
9 7069
 
8.4%
e 6570
 
7.8%
i 5727
 
6.8%
o 5665
 
6.7%
r 4323
 
5.1%
S 3822
 
4.5%
p 3285
 
3.9%
Other values (10) 11843
14.0%
Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size56.7 KiB
0 - Sem resposta
3613 
10 - Acima de 2 anos
1963 
10 - De 1 ano até 2 anos
715 
10 - De 6 meses até 1 ano
486 
10 - Até 6 meses
463 

Length

Max length25
Median length16
Mean length18.478729
Min length16

Characters and Unicode

Total characters133786
Distinct characters22
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0 - Sem resposta
2nd row10 - De 6 meses até 1 ano
3rd row10 - Até 6 meses
4th row0 - Sem resposta
5th row0 - Sem resposta

Common Values

ValueCountFrequency (%)
0 - Sem resposta 3613
49.9%
10 - Acima de 2 anos 1963
27.1%
10 - De 1 ano até 2 anos 715
 
9.9%
10 - De 6 meses até 1 ano 486
 
6.7%
10 - Até 6 meses 463
 
6.4%

Length

2024-06-13T17:37:32.143200image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-13T17:37:32.259301image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
7240
19.0%
10 3627
9.5%
0 3613
9.5%
sem 3613
9.5%
resposta 3613
9.5%
de 3164
8.3%
2 2678
 
7.0%
anos 2678
 
7.0%
acima 1963
 
5.1%
até 1664
 
4.4%
Other values (4) 4300
11.3%

Most occurring characters

ValueCountFrequency (%)
30913
23.1%
e 12288
 
9.2%
s 11802
 
8.8%
a 10656
 
8.0%
o 7492
 
5.6%
0 7240
 
5.4%
- 7240
 
5.4%
m 6525
 
4.9%
t 5277
 
3.9%
1 4828
 
3.6%
Other values (12) 29525
22.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 133786
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
30913
23.1%
e 12288
 
9.2%
s 11802
 
8.8%
a 10656
 
8.0%
o 7492
 
5.6%
0 7240
 
5.4%
- 7240
 
5.4%
m 6525
 
4.9%
t 5277
 
3.9%
1 4828
 
3.6%
Other values (12) 29525
22.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 133786
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
30913
23.1%
e 12288
 
9.2%
s 11802
 
8.8%
a 10656
 
8.0%
o 7492
 
5.6%
0 7240
 
5.4%
- 7240
 
5.4%
m 6525
 
4.9%
t 5277
 
3.9%
1 4828
 
3.6%
Other values (12) 29525
22.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 133786
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
30913
23.1%
e 12288
 
9.2%
s 11802
 
8.8%
a 10656
 
8.0%
o 7492
 
5.6%
0 7240
 
5.4%
- 7240
 
5.4%
m 6525
 
4.9%
t 5277
 
3.9%
1 4828
 
3.6%
Other values (12) 29525
22.1%
Distinct11
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size56.7 KiB
0 - Sem resposta
3613 
11 - Atendimento Receptivo
1487 
11 - Backoffice
473 
11 - Ativo de Vendas
 
353
11 - Cobrança
 
320
Other values (6)
994 

Length

Max length31
Median length26
Mean length18.400967
Min length13

Characters and Unicode

Total characters133223
Distinct characters35
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0 - Sem resposta
2nd row11 - Atendimento Receptivo
3rd row11 - Ativo de Vendas
4th row0 - Sem resposta
5th row0 - Sem resposta

Common Values

ValueCountFrequency (%)
0 - Sem resposta 3613
49.9%
11 - Atendimento Receptivo 1487
20.5%
11 - Backoffice 473
 
6.5%
11 - Ativo de Vendas 353
 
4.9%
11 - Cobrança 320
 
4.4%
11 - Suporte Técnico 288
 
4.0%
11 - Chat ou E-mail 265
 
3.7%
11 - Multiskill 226
 
3.1%
11 - Retenção 99
 
1.4%
11 - Receptivo de Vendas 90
 
1.2%

Length

2024-06-13T17:37:32.423412image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
7240
25.3%
11 3627
12.7%
0 3613
12.6%
sem 3613
12.6%
resposta 3613
12.6%
receptivo 1577
 
5.5%
atendimento 1487
 
5.2%
backoffice 473
 
1.7%
vendas 469
 
1.6%
de 443
 
1.5%
Other values (10) 2447
 
8.6%

Most occurring characters

ValueCountFrequency (%)
21362
16.0%
e 15251
 
11.4%
t 9421
 
7.1%
o 8841
 
6.6%
s 7921
 
5.9%
- 7505
 
5.6%
1 7254
 
5.4%
a 5725
 
4.3%
p 5504
 
4.1%
m 5391
 
4.0%
Other values (25) 39048
29.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 133223
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
21362
16.0%
e 15251
 
11.4%
t 9421
 
7.1%
o 8841
 
6.6%
s 7921
 
5.9%
- 7505
 
5.6%
1 7254
 
5.4%
a 5725
 
4.3%
p 5504
 
4.1%
m 5391
 
4.0%
Other values (25) 39048
29.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 133223
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
21362
16.0%
e 15251
 
11.4%
t 9421
 
7.1%
o 8841
 
6.6%
s 7921
 
5.9%
- 7505
 
5.6%
1 7254
 
5.4%
a 5725
 
4.3%
p 5504
 
4.1%
m 5391
 
4.0%
Other values (25) 39048
29.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 133223
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
21362
16.0%
e 15251
 
11.4%
t 9421
 
7.1%
o 8841
 
6.6%
s 7921
 
5.9%
- 7505
 
5.6%
1 7254
 
5.4%
a 5725
 
4.3%
p 5504
 
4.1%
m 5391
 
4.0%
Other values (25) 39048
29.3%

Em qual área você trabalhou?
Categorical

IMBALANCE 

Distinct13
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size56.7 KiB
0 - Sem resposta
4867 
12 - Administrativo
763 
12 - Comércio
514 
12 - Outros
 
426
12 - Educação
 
136
Other values (8)
534 

Length

Max length29
Median length16
Mean length15.835221
Min length10

Characters and Unicode

Total characters114647
Distinct characters40
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row12 - Administrativo
2nd row0 - Sem resposta
3rd row0 - Sem resposta
4th row12 - Administrativo
5th row12 - Administrativo

Common Values

ValueCountFrequency (%)
0 - Sem resposta 4867
67.2%
12 - Administrativo 763
 
10.5%
12 - Comércio 514
 
7.1%
12 - Outros 426
 
5.9%
12 - Educação 136
 
1.9%
12 - Tecnologia 87
 
1.2%
12 - Saúde 79
 
1.1%
12 - Logística 78
 
1.1%
12 - Indústria ou Metalúrgica 74
 
1.0%
12 - Financeiro 65
 
0.9%
Other values (3) 151
 
2.1%

Length

2024-06-13T17:37:32.631022image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
7240
26.9%
0 4867
18.1%
sem 4867
18.1%
resposta 4867
18.1%
12 2373
 
8.8%
administrativo 763
 
2.8%
comércio 514
 
1.9%
outros 426
 
1.6%
educação 136
 
0.5%
tecnologia 87
 
0.3%
Other values (12) 745
 
2.8%

Most occurring characters

ValueCountFrequency (%)
19645
17.1%
s 11240
9.8%
e 10340
 
9.0%
o 7717
 
6.7%
- 7240
 
6.3%
t 7181
 
6.3%
r 6949
 
6.1%
a 6539
 
5.7%
m 6144
 
5.4%
S 5006
 
4.4%
Other values (30) 26646
23.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 114647
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
19645
17.1%
s 11240
9.8%
e 10340
 
9.0%
o 7717
 
6.7%
- 7240
 
6.3%
t 7181
 
6.3%
r 6949
 
6.1%
a 6539
 
5.7%
m 6144
 
5.4%
S 5006
 
4.4%
Other values (30) 26646
23.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 114647
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
19645
17.1%
s 11240
9.8%
e 10340
 
9.0%
o 7717
 
6.7%
- 7240
 
6.3%
t 7181
 
6.3%
r 6949
 
6.1%
a 6539
 
5.7%
m 6144
 
5.4%
S 5006
 
4.4%
Other values (30) 26646
23.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 114647
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
19645
17.1%
s 11240
9.8%
e 10340
 
9.0%
o 7717
 
6.7%
- 7240
 
6.3%
t 7181
 
6.3%
r 6949
 
6.1%
a 6539
 
5.7%
m 6144
 
5.4%
S 5006
 
4.4%
Other values (30) 26646
23.2%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size56.7 KiB
13 - Sim
3089 
13 - Não
2887 
0 - Sem resposta
1264 

Length

Max length16
Median length8
Mean length9.3966851
Min length8

Characters and Unicode

Total characters68032
Distinct characters17
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row13 - Não
2nd row13 - Sim
3rd row13 - Não
4th row13 - Sim
5th row13 - Sim

Common Values

ValueCountFrequency (%)
13 - Sim 3089
42.7%
13 - Não 2887
39.9%
0 - Sem resposta 1264
17.5%

Length

2024-06-13T17:37:32.798579image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-13T17:37:32.942875image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
7240
31.5%
13 5976
26.0%
sim 3089
13.4%
não 2887
 
12.6%
0 1264
 
5.5%
sem 1264
 
5.5%
resposta 1264
 
5.5%

Most occurring characters

ValueCountFrequency (%)
15744
23.1%
- 7240
10.6%
1 5976
 
8.8%
3 5976
 
8.8%
S 4353
 
6.4%
m 4353
 
6.4%
o 4151
 
6.1%
i 3089
 
4.5%
ã 2887
 
4.2%
N 2887
 
4.2%
Other values (7) 11376
16.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 68032
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
15744
23.1%
- 7240
10.6%
1 5976
 
8.8%
3 5976
 
8.8%
S 4353
 
6.4%
m 4353
 
6.4%
o 4151
 
6.1%
i 3089
 
4.5%
ã 2887
 
4.2%
N 2887
 
4.2%
Other values (7) 11376
16.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 68032
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
15744
23.1%
- 7240
10.6%
1 5976
 
8.8%
3 5976
 
8.8%
S 4353
 
6.4%
m 4353
 
6.4%
o 4151
 
6.1%
i 3089
 
4.5%
ã 2887
 
4.2%
N 2887
 
4.2%
Other values (7) 11376
16.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 68032
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
15744
23.1%
- 7240
10.6%
1 5976
 
8.8%
3 5976
 
8.8%
S 4353
 
6.4%
m 4353
 
6.4%
o 4151
 
6.1%
i 3089
 
4.5%
ã 2887
 
4.2%
N 2887
 
4.2%
Other values (7) 11376
16.7%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size56.7 KiB
14 - Sim
6463 
14 - Não
 
529
0 - Sem resposta
 
248

Length

Max length16
Median length8
Mean length8.2740331
Min length8

Characters and Unicode

Total characters59904
Distinct characters17
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row14 - Sim
2nd row14 - Sim
3rd row14 - Sim
4th row14 - Sim
5th row14 - Sim

Common Values

ValueCountFrequency (%)
14 - Sim 6463
89.3%
14 - Não 529
 
7.3%
0 - Sem resposta 248
 
3.4%

Length

2024-06-13T17:37:33.116119image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-13T17:37:33.266678image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
7240
33.0%
14 6992
31.8%
sim 6463
29.4%
não 529
 
2.4%
0 248
 
1.1%
sem 248
 
1.1%
resposta 248
 
1.1%

Most occurring characters

ValueCountFrequency (%)
14728
24.6%
- 7240
12.1%
1 6992
11.7%
4 6992
11.7%
S 6711
11.2%
m 6711
11.2%
i 6463
10.8%
o 777
 
1.3%
ã 529
 
0.9%
N 529
 
0.9%
Other values (7) 2232
 
3.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 59904
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
14728
24.6%
- 7240
12.1%
1 6992
11.7%
4 6992
11.7%
S 6711
11.2%
m 6711
11.2%
i 6463
10.8%
o 777
 
1.3%
ã 529
 
0.9%
N 529
 
0.9%
Other values (7) 2232
 
3.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 59904
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
14728
24.6%
- 7240
12.1%
1 6992
11.7%
4 6992
11.7%
S 6711
11.2%
m 6711
11.2%
i 6463
10.8%
o 777
 
1.3%
ã 529
 
0.9%
N 529
 
0.9%
Other values (7) 2232
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 59904
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
14728
24.6%
- 7240
12.1%
1 6992
11.7%
4 6992
11.7%
S 6711
11.2%
m 6711
11.2%
i 6463
10.8%
o 777
 
1.3%
ã 529
 
0.9%
N 529
 
0.9%
Other values (7) 2232
 
3.7%
Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size56.7 KiB
15 - Sim, apenas eu uso
4597 
15 - Sim, cedido pela empresa
903 
15 - Não
797 
15 - Sim, compartilhado com outras pessoas de casa
695 
0 - Sem resposta
 
248

Length

Max length50
Median length23
Mean length24.449171
Min length8

Characters and Unicode

Total characters177012
Distinct characters24
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row15 - Sim, cedido pela empresa
2nd row15 - Sim, apenas eu uso
3rd row15 - Sim, apenas eu uso
4th row15 - Sim, apenas eu uso
5th row15 - Sim, compartilhado com outras pessoas de casa

Common Values

ValueCountFrequency (%)
15 - Sim, apenas eu uso 4597
63.5%
15 - Sim, cedido pela empresa 903
 
12.5%
15 - Não 797
 
11.0%
15 - Sim, compartilhado com outras pessoas de casa 695
 
9.6%
0 - Sem resposta 248
 
3.4%

Length

2024-06-13T17:37:33.428822image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-13T17:37:33.547370image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
7240
17.0%
15 6992
16.4%
sim 6195
14.5%
apenas 4597
10.8%
eu 4597
10.8%
uso 4597
10.8%
cedido 903
 
2.1%
pela 903
 
2.1%
empresa 903
 
2.1%
não 797
 
1.9%
Other values (9) 4914
11.5%

Most occurring characters

ValueCountFrequency (%)
35398
20.0%
a 15418
 
8.7%
e 14692
 
8.3%
s 14068
 
7.9%
o 10020
 
5.7%
u 9889
 
5.6%
m 8736
 
4.9%
p 8041
 
4.5%
i 7793
 
4.4%
- 7240
 
4.1%
Other values (14) 45717
25.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 177012
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
35398
20.0%
a 15418
 
8.7%
e 14692
 
8.3%
s 14068
 
7.9%
o 10020
 
5.7%
u 9889
 
5.6%
m 8736
 
4.9%
p 8041
 
4.5%
i 7793
 
4.4%
- 7240
 
4.1%
Other values (14) 45717
25.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 177012
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
35398
20.0%
a 15418
 
8.7%
e 14692
 
8.3%
s 14068
 
7.9%
o 10020
 
5.7%
u 9889
 
5.6%
m 8736
 
4.9%
p 8041
 
4.5%
i 7793
 
4.4%
- 7240
 
4.1%
Other values (14) 45717
25.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 177012
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
35398
20.0%
a 15418
 
8.7%
e 14692
 
8.3%
s 14068
 
7.9%
o 10020
 
5.7%
u 9889
 
5.6%
m 8736
 
4.9%
p 8041
 
4.5%
i 7793
 
4.4%
- 7240
 
4.1%
Other values (14) 45717
25.8%

Qual sistema operacional utiliza?
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size56.7 KiB
16 - Windows 10
5278 
0 - Sem resposta
1280 
16 - Windows 7
 
353
16 - Windows 8
 
203
16 - Windows XP
 
96

Length

Max length16
Median length15
Mean length15.079282
Min length10

Characters and Unicode

Total characters109174
Distinct characters26
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row16 - Windows 10
2nd row16 - Windows 10
3rd row16 - Windows 10
4th row16 - Windows 10
5th row16 - Windows 10

Common Values

ValueCountFrequency (%)
16 - Windows 10 5278
72.9%
0 - Sem resposta 1280
 
17.7%
16 - Windows 7 353
 
4.9%
16 - Windows 8 203
 
2.8%
16 - Windows XP 96
 
1.3%
16 - Linux 30
 
0.4%

Length

2024-06-13T17:37:33.720977image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-13T17:37:33.909859image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
7240
25.0%
16 5960
20.6%
windows 5930
20.5%
10 5278
18.2%
0 1280
 
4.4%
sem 1280
 
4.4%
resposta 1280
 
4.4%
7 353
 
1.2%
8 203
 
0.7%
xp 96
 
0.3%

Most occurring characters

ValueCountFrequency (%)
21690
19.9%
1 11238
10.3%
s 8490
 
7.8%
- 7240
 
6.6%
o 7210
 
6.6%
0 6558
 
6.0%
6 5960
 
5.5%
i 5960
 
5.5%
n 5960
 
5.5%
W 5930
 
5.4%
Other values (16) 22938
21.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 109174
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
21690
19.9%
1 11238
10.3%
s 8490
 
7.8%
- 7240
 
6.6%
o 7210
 
6.6%
0 6558
 
6.0%
6 5960
 
5.5%
i 5960
 
5.5%
n 5960
 
5.5%
W 5930
 
5.4%
Other values (16) 22938
21.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 109174
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
21690
19.9%
1 11238
10.3%
s 8490
 
7.8%
- 7240
 
6.6%
o 7210
 
6.6%
0 6558
 
6.0%
6 5960
 
5.5%
i 5960
 
5.5%
n 5960
 
5.5%
W 5930
 
5.4%
Other values (16) 22938
21.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 109174
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
21690
19.9%
1 11238
10.3%
s 8490
 
7.8%
- 7240
 
6.6%
o 7210
 
6.6%
0 6558
 
6.0%
6 5960
 
5.5%
i 5960
 
5.5%
n 5960
 
5.5%
W 5930
 
5.4%
Other values (16) 22938
21.0%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size56.7 KiB
17 - Sim
4197 
17 - Não
1763 
0 - Sem resposta
1280 

Length

Max length16
Median length8
Mean length9.4143646
Min length8

Characters and Unicode

Total characters68160
Distinct characters17
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row17 - Não
2nd row17 - Sim
3rd row17 - Não
4th row17 - Sim
5th row17 - Não

Common Values

ValueCountFrequency (%)
17 - Sim 4197
58.0%
17 - Não 1763
24.4%
0 - Sem resposta 1280
 
17.7%

Length

2024-06-13T17:37:34.472092image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-13T17:37:34.659943image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
7240
31.5%
17 5960
25.9%
sim 4197
18.2%
não 1763
 
7.7%
0 1280
 
5.6%
sem 1280
 
5.6%
resposta 1280
 
5.6%

Most occurring characters

ValueCountFrequency (%)
15760
23.1%
- 7240
10.6%
1 5960
 
8.7%
7 5960
 
8.7%
S 5477
 
8.0%
m 5477
 
8.0%
i 4197
 
6.2%
o 3043
 
4.5%
e 2560
 
3.8%
s 2560
 
3.8%
Other values (7) 9926
14.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 68160
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
15760
23.1%
- 7240
10.6%
1 5960
 
8.7%
7 5960
 
8.7%
S 5477
 
8.0%
m 5477
 
8.0%
i 4197
 
6.2%
o 3043
 
4.5%
e 2560
 
3.8%
s 2560
 
3.8%
Other values (7) 9926
14.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 68160
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
15760
23.1%
- 7240
10.6%
1 5960
 
8.7%
7 5960
 
8.7%
S 5477
 
8.0%
m 5477
 
8.0%
i 4197
 
6.2%
o 3043
 
4.5%
e 2560
 
3.8%
s 2560
 
3.8%
Other values (7) 9926
14.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 68160
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
15760
23.1%
- 7240
10.6%
1 5960
 
8.7%
7 5960
 
8.7%
S 5477
 
8.0%
m 5477
 
8.0%
i 4197
 
6.2%
o 3043
 
4.5%
e 2560
 
3.8%
s 2560
 
3.8%
Other values (7) 9926
14.6%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size56.7 KiB
18 - Sim
4455 
18 - Não
1505 
0 - Sem resposta
1280 

Length

Max length16
Median length8
Mean length9.4143646
Min length8

Characters and Unicode

Total characters68160
Distinct characters17
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row18 - Sim
2nd row18 - Sim
3rd row18 - Sim
4th row18 - Não
5th row18 - Não

Common Values

ValueCountFrequency (%)
18 - Sim 4455
61.5%
18 - Não 1505
 
20.8%
0 - Sem resposta 1280
 
17.7%

Length

2024-06-13T17:37:34.836493image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-13T17:37:34.988359image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
7240
31.5%
18 5960
25.9%
sim 4455
19.4%
não 1505
 
6.5%
0 1280
 
5.6%
sem 1280
 
5.6%
resposta 1280
 
5.6%

Most occurring characters

ValueCountFrequency (%)
15760
23.1%
- 7240
10.6%
1 5960
 
8.7%
8 5960
 
8.7%
S 5735
 
8.4%
m 5735
 
8.4%
i 4455
 
6.5%
o 2785
 
4.1%
e 2560
 
3.8%
s 2560
 
3.8%
Other values (7) 9410
13.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 68160
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
15760
23.1%
- 7240
10.6%
1 5960
 
8.7%
8 5960
 
8.7%
S 5735
 
8.4%
m 5735
 
8.4%
i 4455
 
6.5%
o 2785
 
4.1%
e 2560
 
3.8%
s 2560
 
3.8%
Other values (7) 9410
13.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 68160
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
15760
23.1%
- 7240
10.6%
1 5960
 
8.7%
8 5960
 
8.7%
S 5735
 
8.4%
m 5735
 
8.4%
i 4455
 
6.5%
o 2785
 
4.1%
e 2560
 
3.8%
s 2560
 
3.8%
Other values (7) 9410
13.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 68160
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
15760
23.1%
- 7240
10.6%
1 5960
 
8.7%
8 5960
 
8.7%
S 5735
 
8.4%
m 5735
 
8.4%
i 4455
 
6.5%
o 2785
 
4.1%
e 2560
 
3.8%
s 2560
 
3.8%
Other values (7) 9410
13.8%
Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size56.7 KiB
19 - Sim
6319 
0 - Sem resposta
816 
19 - Não
 
105

Length

Max length16
Median length8
Mean length8.9016575
Min length8

Characters and Unicode

Total characters64448
Distinct characters17
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row19 - Sim
2nd row19 - Sim
3rd row19 - Sim
4th row19 - Sim
5th row19 - Sim

Common Values

ValueCountFrequency (%)
19 - Sim 6319
87.3%
0 - Sem resposta 816
 
11.3%
19 - Não 105
 
1.5%

Length

2024-06-13T17:37:35.134254image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-13T17:37:35.279786image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
7240
32.1%
19 6424
28.5%
sim 6319
28.0%
0 816
 
3.6%
sem 816
 
3.6%
resposta 816
 
3.6%
não 105
 
0.5%

Most occurring characters

ValueCountFrequency (%)
15296
23.7%
- 7240
11.2%
S 7135
11.1%
m 7135
11.1%
1 6424
10.0%
9 6424
10.0%
i 6319
9.8%
s 1632
 
2.5%
e 1632
 
2.5%
o 921
 
1.4%
Other values (7) 4290
 
6.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 64448
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
15296
23.7%
- 7240
11.2%
S 7135
11.1%
m 7135
11.1%
1 6424
10.0%
9 6424
10.0%
i 6319
9.8%
s 1632
 
2.5%
e 1632
 
2.5%
o 921
 
1.4%
Other values (7) 4290
 
6.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 64448
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
15296
23.7%
- 7240
11.2%
S 7135
11.1%
m 7135
11.1%
1 6424
10.0%
9 6424
10.0%
i 6319
9.8%
s 1632
 
2.5%
e 1632
 
2.5%
o 921
 
1.4%
Other values (7) 4290
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 64448
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
15296
23.7%
- 7240
11.2%
S 7135
11.1%
m 7135
11.1%
1 6424
10.0%
9 6424
10.0%
i 6319
9.8%
s 1632
 
2.5%
e 1632
 
2.5%
o 921
 
1.4%
Other values (7) 4290
 
6.7%
Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size56.7 KiB
20 - Acima de 50 Mbps
4059 
20 - Entre 15 e 50 Mbps
1855 
0 - Sem resposta
928 
20 - Até 15 Mbps
 
398

Length

Max length23
Median length21
Mean length20.596685
Min length16

Characters and Unicode

Total characters149120
Distinct characters24
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20 - Acima de 50 Mbps
2nd row20 - Acima de 50 Mbps
3rd row20 - Acima de 50 Mbps
4th row20 - Acima de 50 Mbps
5th row20 - Acima de 50 Mbps

Common Values

ValueCountFrequency (%)
20 - Acima de 50 Mbps 4059
56.1%
20 - Entre 15 e 50 Mbps 1855
25.6%
0 - Sem resposta 928
 
12.8%
20 - Até 15 Mbps 398
 
5.5%

Length

2024-06-13T17:37:35.418554image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-13T17:37:35.569249image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
7240
16.8%
20 6312
14.7%
mbps 6312
14.7%
50 5914
13.7%
acima 4059
9.4%
de 4059
9.4%
15 2253
 
5.2%
entre 1855
 
4.3%
e 1855
 
4.3%
0 928
 
2.2%
Other values (3) 2254
 
5.2%

Most occurring characters

ValueCountFrequency (%)
35801
24.0%
0 13154
 
8.8%
e 9625
 
6.5%
s 8168
 
5.5%
5 8167
 
5.5%
- 7240
 
4.9%
p 7240
 
4.9%
2 6312
 
4.2%
b 6312
 
4.2%
M 6312
 
4.2%
Other values (14) 40789
27.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 149120
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
35801
24.0%
0 13154
 
8.8%
e 9625
 
6.5%
s 8168
 
5.5%
5 8167
 
5.5%
- 7240
 
4.9%
p 7240
 
4.9%
2 6312
 
4.2%
b 6312
 
4.2%
M 6312
 
4.2%
Other values (14) 40789
27.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 149120
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
35801
24.0%
0 13154
 
8.8%
e 9625
 
6.5%
s 8168
 
5.5%
5 8167
 
5.5%
- 7240
 
4.9%
p 7240
 
4.9%
2 6312
 
4.2%
b 6312
 
4.2%
M 6312
 
4.2%
Other values (14) 40789
27.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 149120
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
35801
24.0%
0 13154
 
8.8%
e 9625
 
6.5%
s 8168
 
5.5%
5 8167
 
5.5%
- 7240
 
4.9%
p 7240
 
4.9%
2 6312
 
4.2%
b 6312
 
4.2%
M 6312
 
4.2%
Other values (14) 40789
27.4%
Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size56.7 KiB
21 - 5 - Concordo totalmente
4554 
21 - 4 - Concordo
1081 
0 - Sem resposta
684 
21 - 1 - Discordo totalmente
480 
21 - 2 - Discordo
 
353

Length

Max length28
Median length28
Mean length24.590331
Min length16

Characters and Unicode

Total characters178034
Distinct characters26
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0 - Sem resposta
2nd row0 - Sem resposta
3rd row21 - 4 - Concordo
4th row21 - 5 - Concordo totalmente
5th row21 - 4 - Concordo

Common Values

ValueCountFrequency (%)
21 - 5 - Concordo totalmente 4554
62.9%
21 - 4 - Concordo 1081
 
14.9%
0 - Sem resposta 684
 
9.4%
21 - 1 - Discordo totalmente 480
 
6.6%
21 - 2 - Discordo 353
 
4.9%
21 - 3 - Indiferente 88
 
1.2%

Length

2024-06-13T17:37:35.734698image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-13T17:37:35.893920image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
13796
34.0%
21 6556
16.2%
concordo 5635
13.9%
totalmente 5034
 
12.4%
5 4554
 
11.2%
4 1081
 
2.7%
discordo 833
 
2.1%
0 684
 
1.7%
sem 684
 
1.7%
resposta 684
 
1.7%
Other values (4) 1009
 
2.5%

Most occurring characters

ValueCountFrequency (%)
33310
18.7%
o 24289
13.6%
t 15874
 
8.9%
- 13796
 
7.7%
e 11700
 
6.6%
n 10845
 
6.1%
r 7240
 
4.1%
1 7036
 
4.0%
2 6909
 
3.9%
d 6556
 
3.7%
Other values (16) 40479
22.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 178034
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
33310
18.7%
o 24289
13.6%
t 15874
 
8.9%
- 13796
 
7.7%
e 11700
 
6.6%
n 10845
 
6.1%
r 7240
 
4.1%
1 7036
 
4.0%
2 6909
 
3.9%
d 6556
 
3.7%
Other values (16) 40479
22.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 178034
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
33310
18.7%
o 24289
13.6%
t 15874
 
8.9%
- 13796
 
7.7%
e 11700
 
6.6%
n 10845
 
6.1%
r 7240
 
4.1%
1 7036
 
4.0%
2 6909
 
3.9%
d 6556
 
3.7%
Other values (16) 40479
22.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 178034
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
33310
18.7%
o 24289
13.6%
t 15874
 
8.9%
- 13796
 
7.7%
e 11700
 
6.6%
n 10845
 
6.1%
r 7240
 
4.1%
1 7036
 
4.0%
2 6909
 
3.9%
d 6556
 
3.7%
Other values (16) 40479
22.7%
Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size56.7 KiB
22 - 3 - Indiferente
2282 
22 - 2 - Discordo
2115 
22 - 1 - Discordo totalmente
1037 
22 - 4 - Concordo
887 
0 - Sem resposta
684 

Length

Max length28
Median length20
Mean length19.783702
Min length16

Characters and Unicode

Total characters143234
Distinct characters26
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0 - Sem resposta
2nd row0 - Sem resposta
3rd row22 - 2 - Discordo
4th row22 - 4 - Concordo
5th row22 - 3 - Indiferente

Common Values

ValueCountFrequency (%)
22 - 3 - Indiferente 2282
31.5%
22 - 2 - Discordo 2115
29.2%
22 - 1 - Discordo totalmente 1037
14.3%
22 - 4 - Concordo 887
 
12.3%
0 - Sem resposta 684
 
9.4%
22 - 5 - Concordo totalmente 235
 
3.2%

Length

2024-06-13T17:37:36.113657image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-13T17:37:36.299990image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
13796
37.5%
22 6556
17.8%
discordo 3152
 
8.6%
3 2282
 
6.2%
indiferente 2282
 
6.2%
2 2115
 
5.7%
totalmente 1272
 
3.5%
concordo 1122
 
3.0%
1 1037
 
2.8%
4 887
 
2.4%
Other values (4) 2287
 
6.2%

Most occurring characters

ValueCountFrequency (%)
29548
20.6%
2 15227
10.6%
- 13796
9.6%
o 11626
 
8.1%
e 10758
 
7.5%
r 7240
 
5.1%
n 6958
 
4.9%
t 6782
 
4.7%
d 6556
 
4.6%
i 5434
 
3.8%
Other values (16) 29309
20.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 143234
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
29548
20.6%
2 15227
10.6%
- 13796
9.6%
o 11626
 
8.1%
e 10758
 
7.5%
r 7240
 
5.1%
n 6958
 
4.9%
t 6782
 
4.7%
d 6556
 
4.6%
i 5434
 
3.8%
Other values (16) 29309
20.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 143234
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
29548
20.6%
2 15227
10.6%
- 13796
9.6%
o 11626
 
8.1%
e 10758
 
7.5%
r 7240
 
5.1%
n 6958
 
4.9%
t 6782
 
4.7%
d 6556
 
4.6%
i 5434
 
3.8%
Other values (16) 29309
20.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 143234
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
29548
20.6%
2 15227
10.6%
- 13796
9.6%
o 11626
 
8.1%
e 10758
 
7.5%
r 7240
 
5.1%
n 6958
 
4.9%
t 6782
 
4.7%
d 6556
 
4.6%
i 5434
 
3.8%
Other values (16) 29309
20.5%
Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size56.7 KiB
23 - 4 - Concordo
3482 
23 - 3 - Indiferente
1417 
23 - 5 - Concordo totalmente
957 
0 - Sem resposta
684 
23 - 2 - Discordo
641 

Length

Max length28
Median length17
Mean length19.036326
Min length16

Characters and Unicode

Total characters137823
Distinct characters26
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0 - Sem resposta
2nd row0 - Sem resposta
3rd row23 - 2 - Discordo
4th row23 - 4 - Concordo
5th row23 - 4 - Concordo

Common Values

ValueCountFrequency (%)
23 - 4 - Concordo 3482
48.1%
23 - 3 - Indiferente 1417
19.6%
23 - 5 - Concordo totalmente 957
 
13.2%
0 - Sem resposta 684
 
9.4%
23 - 2 - Discordo 641
 
8.9%
23 - 1 - Discordo totalmente 59
 
0.8%

Length

2024-06-13T17:37:36.512078image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-13T17:37:36.693471image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
13796
37.8%
23 6556
17.9%
concordo 4439
 
12.2%
4 3482
 
9.5%
3 1417
 
3.9%
indiferente 1417
 
3.9%
totalmente 1016
 
2.8%
5 957
 
2.6%
discordo 700
 
1.9%
0 684
 
1.9%
Other values (4) 2068
 
5.7%

Most occurring characters

ValueCountFrequency (%)
29292
21.3%
o 16417
11.9%
- 13796
10.0%
n 8289
 
6.0%
3 7973
 
5.8%
e 7651
 
5.6%
r 7240
 
5.3%
2 7197
 
5.2%
d 6556
 
4.8%
t 5149
 
3.7%
Other values (16) 28263
20.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 137823
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
29292
21.3%
o 16417
11.9%
- 13796
10.0%
n 8289
 
6.0%
3 7973
 
5.8%
e 7651
 
5.6%
r 7240
 
5.3%
2 7197
 
5.2%
d 6556
 
4.8%
t 5149
 
3.7%
Other values (16) 28263
20.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 137823
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
29292
21.3%
o 16417
11.9%
- 13796
10.0%
n 8289
 
6.0%
3 7973
 
5.8%
e 7651
 
5.6%
r 7240
 
5.3%
2 7197
 
5.2%
d 6556
 
4.8%
t 5149
 
3.7%
Other values (16) 28263
20.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 137823
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
29292
21.3%
o 16417
11.9%
- 13796
10.0%
n 8289
 
6.0%
3 7973
 
5.8%
e 7651
 
5.6%
r 7240
 
5.3%
2 7197
 
5.2%
d 6556
 
4.8%
t 5149
 
3.7%
Other values (16) 28263
20.5%
Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size56.7 KiB
24 - 2 - Discordo
3335 
24 - 1 - Discordo totalmente
1456 
24 - 3 - Indiferente
1134 
0 - Sem resposta
684 
24 - 4 - Concordo
507 

Length

Max length28
Median length17
Mean length19.775967
Min length16

Characters and Unicode

Total characters143178
Distinct characters26
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0 - Sem resposta
2nd row0 - Sem resposta
3rd row24 - 2 - Discordo
4th row24 - 3 - Indiferente
5th row24 - 2 - Discordo

Common Values

ValueCountFrequency (%)
24 - 2 - Discordo 3335
46.1%
24 - 1 - Discordo totalmente 1456
20.1%
24 - 3 - Indiferente 1134
 
15.7%
0 - Sem resposta 684
 
9.4%
24 - 4 - Concordo 507
 
7.0%
24 - 5 - Concordo totalmente 124
 
1.7%

Length

2024-06-13T17:37:36.855567image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-13T17:37:37.024937image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
13796
37.2%
24 6556
17.7%
discordo 4791
 
12.9%
2 3335
 
9.0%
totalmente 1580
 
4.3%
1 1456
 
3.9%
3 1134
 
3.1%
indiferente 1134
 
3.1%
0 684
 
1.8%
sem 684
 
1.8%
Other values (4) 1946
 
5.2%

Most occurring characters

ValueCountFrequency (%)
29856
20.9%
- 13796
9.6%
o 13739
 
9.6%
2 9891
 
6.9%
e 7930
 
5.5%
r 7240
 
5.1%
4 7063
 
4.9%
t 6558
 
4.6%
d 6556
 
4.6%
s 6159
 
4.3%
Other values (16) 34390
24.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 143178
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
29856
20.9%
- 13796
9.6%
o 13739
 
9.6%
2 9891
 
6.9%
e 7930
 
5.5%
r 7240
 
5.1%
4 7063
 
4.9%
t 6558
 
4.6%
d 6556
 
4.6%
s 6159
 
4.3%
Other values (16) 34390
24.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 143178
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
29856
20.9%
- 13796
9.6%
o 13739
 
9.6%
2 9891
 
6.9%
e 7930
 
5.5%
r 7240
 
5.1%
4 7063
 
4.9%
t 6558
 
4.6%
d 6556
 
4.6%
s 6159
 
4.3%
Other values (16) 34390
24.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 143178
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
29856
20.9%
- 13796
9.6%
o 13739
 
9.6%
2 9891
 
6.9%
e 7930
 
5.5%
r 7240
 
5.1%
4 7063
 
4.9%
t 6558
 
4.6%
d 6556
 
4.6%
s 6159
 
4.3%
Other values (16) 34390
24.0%
Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size56.7 KiB
25 - 2 - Discordo
2339 
25 - 3 - Indiferente
1865 
25 - 4 - Concordo
1160 
25 - 1 - Discordo totalmente
945 
0 - Sem resposta
684 

Length

Max length28
Median length20
Mean length19.489365
Min length16

Characters and Unicode

Total characters141103
Distinct characters26
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0 - Sem resposta
2nd row0 - Sem resposta
3rd row25 - 3 - Indiferente
4th row25 - 3 - Indiferente
5th row25 - 3 - Indiferente

Common Values

ValueCountFrequency (%)
25 - 2 - Discordo 2339
32.3%
25 - 3 - Indiferente 1865
25.8%
25 - 4 - Concordo 1160
16.0%
25 - 1 - Discordo totalmente 945
13.1%
0 - Sem resposta 684
 
9.4%
25 - 5 - Concordo totalmente 247
 
3.4%

Length

2024-06-13T17:37:37.239482image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-13T17:37:37.369166image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
13796
37.6%
25 6556
17.9%
discordo 3284
 
8.9%
2 2339
 
6.4%
3 1865
 
5.1%
indiferente 1865
 
5.1%
concordo 1407
 
3.8%
totalmente 1192
 
3.2%
4 1160
 
3.2%
1 945
 
2.6%
Other values (4) 2299
 
6.3%

Most occurring characters

ValueCountFrequency (%)
29468
20.9%
- 13796
9.8%
o 12665
 
9.0%
e 9347
 
6.6%
2 8895
 
6.3%
r 7240
 
5.1%
5 6803
 
4.8%
d 6556
 
4.6%
n 6329
 
4.5%
t 6125
 
4.3%
Other values (16) 33879
24.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 141103
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
29468
20.9%
- 13796
9.8%
o 12665
 
9.0%
e 9347
 
6.6%
2 8895
 
6.3%
r 7240
 
5.1%
5 6803
 
4.8%
d 6556
 
4.6%
n 6329
 
4.5%
t 6125
 
4.3%
Other values (16) 33879
24.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 141103
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
29468
20.9%
- 13796
9.8%
o 12665
 
9.0%
e 9347
 
6.6%
2 8895
 
6.3%
r 7240
 
5.1%
5 6803
 
4.8%
d 6556
 
4.6%
n 6329
 
4.5%
t 6125
 
4.3%
Other values (16) 33879
24.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 141103
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
29468
20.9%
- 13796
9.8%
o 12665
 
9.0%
e 9347
 
6.6%
2 8895
 
6.3%
r 7240
 
5.1%
5 6803
 
4.8%
d 6556
 
4.6%
n 6329
 
4.5%
t 6125
 
4.3%
Other values (16) 33879
24.0%
Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size56.7 KiB
26 - 3 - Indiferente
1853 
26 - 2 - Discordo
1831 
26 - 4 - Concordo
1744 
0 - Sem resposta
684 
26 - 1 - Discordo totalmente
668 

Length

Max length28
Median length20
Mean length19.387155
Min length16

Characters and Unicode

Total characters140363
Distinct characters27
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0 - Sem resposta
2nd row0 - Sem resposta
3rd row26 - 3 - Indiferente
4th row26 - 4 - Concordo
5th row26 - 4 - Concordo

Common Values

ValueCountFrequency (%)
26 - 3 - Indiferente 1853
25.6%
26 - 2 - Discordo 1831
25.3%
26 - 4 - Concordo 1744
24.1%
0 - Sem resposta 684
 
9.4%
26 - 1 - Discordo totalmente 668
 
9.2%
26 - 5 - Concordo totalmente 460
 
6.4%

Length

2024-06-13T17:37:37.553937image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-13T17:37:37.702724image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
13796
37.6%
26 6556
17.9%
discordo 2499
 
6.8%
concordo 2204
 
6.0%
3 1853
 
5.1%
indiferente 1853
 
5.1%
2 1831
 
5.0%
4 1744
 
4.8%
totalmente 1128
 
3.1%
0 684
 
1.9%
Other values (4) 2496
 
6.8%

Most occurring characters

ValueCountFrequency (%)
29404
20.9%
- 13796
9.8%
o 13422
9.6%
e 9183
 
6.5%
2 8387
 
6.0%
r 7240
 
5.2%
n 7038
 
5.0%
6 6556
 
4.7%
d 6556
 
4.7%
t 5921
 
4.2%
Other values (17) 32860
23.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 140363
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
29404
20.9%
- 13796
9.8%
o 13422
9.6%
e 9183
 
6.5%
2 8387
 
6.0%
r 7240
 
5.2%
n 7038
 
5.0%
6 6556
 
4.7%
d 6556
 
4.7%
t 5921
 
4.2%
Other values (17) 32860
23.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 140363
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
29404
20.9%
- 13796
9.8%
o 13422
9.6%
e 9183
 
6.5%
2 8387
 
6.0%
r 7240
 
5.2%
n 7038
 
5.0%
6 6556
 
4.7%
d 6556
 
4.7%
t 5921
 
4.2%
Other values (17) 32860
23.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 140363
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
29404
20.9%
- 13796
9.8%
o 13422
9.6%
e 9183
 
6.5%
2 8387
 
6.0%
r 7240
 
5.2%
n 7038
 
5.0%
6 6556
 
4.7%
d 6556
 
4.7%
t 5921
 
4.2%
Other values (17) 32860
23.4%
Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size56.7 KiB
27 - 2 - Discordo
2366 
27 - 3 - Indiferente
1895 
27 - 4 - Concordo
1350 
0 - Sem resposta
684 
27 - 1 - Discordo totalmente
653 

Length

Max length28
Median length17
Mean length19.126519
Min length16

Characters and Unicode

Total characters138476
Distinct characters27
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0 - Sem resposta
2nd row0 - Sem resposta
3rd row27 - 4 - Concordo
4th row27 - 3 - Indiferente
5th row27 - 2 - Discordo

Common Values

ValueCountFrequency (%)
27 - 2 - Discordo 2366
32.7%
27 - 3 - Indiferente 1895
26.2%
27 - 4 - Concordo 1350
18.6%
0 - Sem resposta 684
 
9.4%
27 - 1 - Discordo totalmente 653
 
9.0%
27 - 5 - Concordo totalmente 292
 
4.0%

Length

2024-06-13T17:37:37.868954image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-13T17:37:38.014631image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
13796
37.8%
27 6556
18.0%
discordo 3019
 
8.3%
2 2366
 
6.5%
3 1895
 
5.2%
indiferente 1895
 
5.2%
concordo 1642
 
4.5%
4 1350
 
3.7%
totalmente 945
 
2.6%
0 684
 
1.9%
Other values (4) 2313
 
6.3%

Most occurring characters

ValueCountFrequency (%)
29221
21.1%
- 13796
10.0%
o 12593
 
9.1%
e 8943
 
6.5%
2 8922
 
6.4%
r 7240
 
5.2%
7 6556
 
4.7%
d 6556
 
4.7%
n 6377
 
4.6%
t 5414
 
3.9%
Other values (17) 32858
23.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 138476
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
29221
21.1%
- 13796
10.0%
o 12593
 
9.1%
e 8943
 
6.5%
2 8922
 
6.4%
r 7240
 
5.2%
7 6556
 
4.7%
d 6556
 
4.7%
n 6377
 
4.6%
t 5414
 
3.9%
Other values (17) 32858
23.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 138476
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
29221
21.1%
- 13796
10.0%
o 12593
 
9.1%
e 8943
 
6.5%
2 8922
 
6.4%
r 7240
 
5.2%
7 6556
 
4.7%
d 6556
 
4.7%
n 6377
 
4.6%
t 5414
 
3.9%
Other values (17) 32858
23.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 138476
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
29221
21.1%
- 13796
10.0%
o 12593
 
9.1%
e 8943
 
6.5%
2 8922
 
6.4%
r 7240
 
5.2%
7 6556
 
4.7%
d 6556
 
4.7%
n 6377
 
4.6%
t 5414
 
3.9%
Other values (17) 32858
23.7%
Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size56.7 KiB
28 - 2 - Discordo
2410 
28 - 3 - Indiferente
2085 
28 - 4 - Concordo
998 
28 - 1 - Discordo totalmente
770 
0 - Sem resposta
684 

Length

Max length28
Median length20
Mean length19.38453
Min length16

Characters and Unicode

Total characters140344
Distinct characters27
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0 - Sem resposta
2nd row0 - Sem resposta
3rd row28 - 4 - Concordo
4th row28 - 3 - Indiferente
5th row28 - 1 - Discordo totalmente

Common Values

ValueCountFrequency (%)
28 - 2 - Discordo 2410
33.3%
28 - 3 - Indiferente 2085
28.8%
28 - 4 - Concordo 998
13.8%
28 - 1 - Discordo totalmente 770
 
10.6%
0 - Sem resposta 684
 
9.4%
28 - 5 - Concordo totalmente 293
 
4.0%

Length

2024-06-13T17:37:38.181257image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-13T17:37:38.345302image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
13796
37.7%
28 6556
17.9%
discordo 3180
 
8.7%
2 2410
 
6.6%
3 2085
 
5.7%
indiferente 2085
 
5.7%
concordo 1291
 
3.5%
totalmente 1063
 
2.9%
4 998
 
2.7%
1 770
 
2.1%
Other values (4) 2345
 
6.4%

Most occurring characters

ValueCountFrequency (%)
29339
20.9%
- 13796
9.8%
o 11980
 
8.5%
e 9749
 
6.9%
2 8966
 
6.4%
r 7240
 
5.2%
8 6556
 
4.7%
d 6556
 
4.7%
n 6524
 
4.6%
t 5958
 
4.2%
Other values (17) 33680
24.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 140344
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
29339
20.9%
- 13796
9.8%
o 11980
 
8.5%
e 9749
 
6.9%
2 8966
 
6.4%
r 7240
 
5.2%
8 6556
 
4.7%
d 6556
 
4.7%
n 6524
 
4.6%
t 5958
 
4.2%
Other values (17) 33680
24.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 140344
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
29339
20.9%
- 13796
9.8%
o 11980
 
8.5%
e 9749
 
6.9%
2 8966
 
6.4%
r 7240
 
5.2%
8 6556
 
4.7%
d 6556
 
4.7%
n 6524
 
4.6%
t 5958
 
4.2%
Other values (17) 33680
24.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 140344
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
29339
20.9%
- 13796
9.8%
o 11980
 
8.5%
e 9749
 
6.9%
2 8966
 
6.4%
r 7240
 
5.2%
8 6556
 
4.7%
d 6556
 
4.7%
n 6524
 
4.6%
t 5958
 
4.2%
Other values (17) 33680
24.0%
Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size56.7 KiB
29 - 4 - Concordo
2453 
29 - 3 - Indiferente
1924 
29 - 2 - Discordo
1200 
0 - Sem resposta
684 
29 - 5 - Concordo totalmente
592 

Length

Max length28
Median length17
Mean length19.190193
Min length16

Characters and Unicode

Total characters138937
Distinct characters27
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0 - Sem resposta
2nd row0 - Sem resposta
3rd row29 - 4 - Concordo
4th row29 - 3 - Indiferente
5th row29 - 4 - Concordo

Common Values

ValueCountFrequency (%)
29 - 4 - Concordo 2453
33.9%
29 - 3 - Indiferente 1924
26.6%
29 - 2 - Discordo 1200
16.6%
0 - Sem resposta 684
 
9.4%
29 - 5 - Concordo totalmente 592
 
8.2%
29 - 1 - Discordo totalmente 387
 
5.3%

Length

2024-06-13T17:37:38.515647image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-13T17:37:38.670232image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
13796
37.8%
29 6556
18.0%
concordo 3045
 
8.3%
4 2453
 
6.7%
3 1924
 
5.3%
indiferente 1924
 
5.3%
discordo 1587
 
4.3%
2 1200
 
3.3%
totalmente 979
 
2.7%
0 684
 
1.9%
Other values (4) 2347
 
6.4%

Most occurring characters

ValueCountFrequency (%)
29255
21.1%
o 13972
10.1%
- 13796
9.9%
e 9098
 
6.5%
n 7872
 
5.7%
2 7756
 
5.6%
r 7240
 
5.2%
9 6556
 
4.7%
d 6556
 
4.7%
t 5545
 
4.0%
Other values (17) 31291
22.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 138937
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
29255
21.1%
o 13972
10.1%
- 13796
9.9%
e 9098
 
6.5%
n 7872
 
5.7%
2 7756
 
5.6%
r 7240
 
5.2%
9 6556
 
4.7%
d 6556
 
4.7%
t 5545
 
4.0%
Other values (17) 31291
22.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 138937
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
29255
21.1%
o 13972
10.1%
- 13796
9.9%
e 9098
 
6.5%
n 7872
 
5.7%
2 7756
 
5.6%
r 7240
 
5.2%
9 6556
 
4.7%
d 6556
 
4.7%
t 5545
 
4.0%
Other values (17) 31291
22.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 138937
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
29255
21.1%
o 13972
10.1%
- 13796
9.9%
e 9098
 
6.5%
n 7872
 
5.7%
2 7756
 
5.6%
r 7240
 
5.2%
9 6556
 
4.7%
d 6556
 
4.7%
t 5545
 
4.0%
Other values (17) 31291
22.5%
Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size56.7 KiB
30 - 4 - Concordo
2595 
30 - 5 - Concordo totalmente
1684 
30 - 3 - Indiferente
1373 
30 - 2 - Discordo
754 
0 - Sem resposta
684 

Length

Max length28
Median length20
Mean length20.260912
Min length16

Characters and Unicode

Total characters146689
Distinct characters26
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0 - Sem resposta
2nd row0 - Sem resposta
3rd row30 - 2 - Discordo
4th row30 - 2 - Discordo
5th row30 - 4 - Concordo

Common Values

ValueCountFrequency (%)
30 - 4 - Concordo 2595
35.8%
30 - 5 - Concordo totalmente 1684
23.3%
30 - 3 - Indiferente 1373
19.0%
30 - 2 - Discordo 754
 
10.4%
0 - Sem resposta 684
 
9.4%
30 - 1 - Discordo totalmente 150
 
2.1%

Length

2024-06-13T17:37:38.841632image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-13T17:37:38.972579image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
13796
36.9%
30 6556
17.6%
concordo 4279
 
11.5%
4 2595
 
6.9%
totalmente 1834
 
4.9%
5 1684
 
4.5%
3 1373
 
3.7%
indiferente 1373
 
3.7%
discordo 904
 
2.4%
2 754
 
2.0%
Other values (4) 2202
 
5.9%

Most occurring characters

ValueCountFrequency (%)
30110
20.5%
o 17163
11.7%
- 13796
9.4%
e 9155
 
6.2%
n 8859
 
6.0%
3 7929
 
5.4%
t 7559
 
5.2%
r 7240
 
4.9%
0 7240
 
4.9%
d 6556
 
4.5%
Other values (16) 31082
21.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 146689
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
30110
20.5%
o 17163
11.7%
- 13796
9.4%
e 9155
 
6.2%
n 8859
 
6.0%
3 7929
 
5.4%
t 7559
 
5.2%
r 7240
 
4.9%
0 7240
 
4.9%
d 6556
 
4.5%
Other values (16) 31082
21.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 146689
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
30110
20.5%
o 17163
11.7%
- 13796
9.4%
e 9155
 
6.2%
n 8859
 
6.0%
3 7929
 
5.4%
t 7559
 
5.2%
r 7240
 
4.9%
0 7240
 
4.9%
d 6556
 
4.5%
Other values (16) 31082
21.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 146689
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
30110
20.5%
o 17163
11.7%
- 13796
9.4%
e 9155
 
6.2%
n 8859
 
6.0%
3 7929
 
5.4%
t 7559
 
5.2%
r 7240
 
4.9%
0 7240
 
4.9%
d 6556
 
4.5%
Other values (16) 31082
21.2%
Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size56.7 KiB
31 - 4 - Concordo
3325 
31 - 5 - Concordo totalmente
2338 
31 - 3 - Indiferente
734 
0 - Sem resposta
684 
31 - 2 - Discordo
 
134

Length

Max length28
Median length20
Mean length20.799862
Min length16

Characters and Unicode

Total characters150591
Distinct characters26
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0 - Sem resposta
2nd row0 - Sem resposta
3rd row31 - 4 - Concordo
4th row31 - 4 - Concordo
5th row31 - 4 - Concordo

Common Values

ValueCountFrequency (%)
31 - 4 - Concordo 3325
45.9%
31 - 5 - Concordo totalmente 2338
32.3%
31 - 3 - Indiferente 734
 
10.1%
0 - Sem resposta 684
 
9.4%
31 - 2 - Discordo 134
 
1.9%
31 - 1 - Discordo totalmente 25
 
0.3%

Length

2024-06-13T17:37:39.143980image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-13T17:37:39.306521image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
13796
36.4%
31 6556
17.3%
concordo 5663
15.0%
4 3325
 
8.8%
totalmente 2363
 
6.2%
5 2338
 
6.2%
3 734
 
1.9%
indiferente 734
 
1.9%
0 684
 
1.8%
sem 684
 
1.8%
Other values (4) 1002
 
2.6%

Most occurring characters

ValueCountFrequency (%)
30639
20.3%
o 20354
13.5%
- 13796
9.2%
n 9494
 
6.3%
t 8507
 
5.6%
e 8296
 
5.5%
3 7290
 
4.8%
r 7240
 
4.8%
1 6581
 
4.4%
d 6556
 
4.4%
Other values (16) 31838
21.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 150591
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
30639
20.3%
o 20354
13.5%
- 13796
9.2%
n 9494
 
6.3%
t 8507
 
5.6%
e 8296
 
5.5%
3 7290
 
4.8%
r 7240
 
4.8%
1 6581
 
4.4%
d 6556
 
4.4%
Other values (16) 31838
21.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 150591
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
30639
20.3%
o 20354
13.5%
- 13796
9.2%
n 9494
 
6.3%
t 8507
 
5.6%
e 8296
 
5.5%
3 7290
 
4.8%
r 7240
 
4.8%
1 6581
 
4.4%
d 6556
 
4.4%
Other values (16) 31838
21.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 150591
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
30639
20.3%
o 20354
13.5%
- 13796
9.2%
n 9494
 
6.3%
t 8507
 
5.6%
e 8296
 
5.5%
3 7290
 
4.8%
r 7240
 
4.8%
1 6581
 
4.4%
d 6556
 
4.4%
Other values (16) 31838
21.1%
Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size56.7 KiB
32 - 5 - Concordo totalmente
4324 
32 - 4 - Concordo
2133 
0 - Sem resposta
684 
32 - 3 - Indiferente
 
92
32 - 2 - Discordo
 
5

Length

Max length28
Median length28
Mean length23.516298
Min length16

Characters and Unicode

Total characters170258
Distinct characters26
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0 - Sem resposta
2nd row0 - Sem resposta
3rd row32 - 4 - Concordo
4th row32 - 4 - Concordo
5th row32 - 5 - Concordo totalmente

Common Values

ValueCountFrequency (%)
32 - 5 - Concordo totalmente 4324
59.7%
32 - 4 - Concordo 2133
29.5%
0 - Sem resposta 684
 
9.4%
32 - 3 - Indiferente 92
 
1.3%
32 - 2 - Discordo 5
 
0.1%
32 - 1 - Discordo totalmente 2
 
< 0.1%

Length

2024-06-13T17:37:39.496587image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-13T17:37:39.688702image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
13796
34.6%
32 6556
16.5%
concordo 6457
16.2%
totalmente 4326
 
10.9%
5 4324
 
10.9%
4 2133
 
5.4%
0 684
 
1.7%
sem 684
 
1.7%
resposta 684
 
1.7%
3 92
 
0.2%
Other values (4) 106
 
0.3%

Most occurring characters

ValueCountFrequency (%)
32602
19.1%
o 24395
14.3%
- 13796
 
8.1%
t 13754
 
8.1%
n 10967
 
6.4%
e 10296
 
6.0%
r 7240
 
4.3%
3 6648
 
3.9%
2 6561
 
3.9%
d 6556
 
3.9%
Other values (16) 37443
22.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 170258
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
32602
19.1%
o 24395
14.3%
- 13796
 
8.1%
t 13754
 
8.1%
n 10967
 
6.4%
e 10296
 
6.0%
r 7240
 
4.3%
3 6648
 
3.9%
2 6561
 
3.9%
d 6556
 
3.9%
Other values (16) 37443
22.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 170258
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
32602
19.1%
o 24395
14.3%
- 13796
 
8.1%
t 13754
 
8.1%
n 10967
 
6.4%
e 10296
 
6.0%
r 7240
 
4.3%
3 6648
 
3.9%
2 6561
 
3.9%
d 6556
 
3.9%
Other values (16) 37443
22.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 170258
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
32602
19.1%
o 24395
14.3%
- 13796
 
8.1%
t 13754
 
8.1%
n 10967
 
6.4%
e 10296
 
6.0%
r 7240
 
4.3%
3 6648
 
3.9%
2 6561
 
3.9%
d 6556
 
3.9%
Other values (16) 37443
22.0%
Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size56.7 KiB
33 - 4 - Concordo
2909 
33 - 5 - Concordo totalmente
2566 
33 - 3 - Indiferente
954 
0 - Sem resposta
684 
33 - 2 - Discordo
 
119

Length

Max length28
Median length20
Mean length21.211602
Min length16

Characters and Unicode

Total characters153572
Distinct characters26
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0 - Sem resposta
2nd row0 - Sem resposta
3rd row33 - 4 - Concordo
4th row33 - 4 - Concordo
5th row33 - 5 - Concordo totalmente

Common Values

ValueCountFrequency (%)
33 - 4 - Concordo 2909
40.2%
33 - 5 - Concordo totalmente 2566
35.4%
33 - 3 - Indiferente 954
 
13.2%
0 - Sem resposta 684
 
9.4%
33 - 2 - Discordo 119
 
1.6%
33 - 1 - Discordo totalmente 8
 
0.1%

Length

2024-06-13T17:37:39.864432image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-13T17:37:40.024048image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
13796
36.2%
33 6556
17.2%
concordo 5475
 
14.4%
4 2909
 
7.6%
totalmente 2574
 
6.8%
5 2566
 
6.7%
3 954
 
2.5%
indiferente 954
 
2.5%
0 684
 
1.8%
sem 684
 
1.8%
Other values (4) 938
 
2.5%

Most occurring characters

ValueCountFrequency (%)
30850
20.1%
o 19937
13.0%
3 14066
9.2%
- 13796
9.0%
n 9957
 
6.5%
e 9378
 
6.1%
t 9360
 
6.1%
r 7240
 
4.7%
d 6556
 
4.3%
c 5602
 
3.6%
Other values (16) 26830
17.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 153572
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
30850
20.1%
o 19937
13.0%
3 14066
9.2%
- 13796
9.0%
n 9957
 
6.5%
e 9378
 
6.1%
t 9360
 
6.1%
r 7240
 
4.7%
d 6556
 
4.3%
c 5602
 
3.6%
Other values (16) 26830
17.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 153572
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
30850
20.1%
o 19937
13.0%
3 14066
9.2%
- 13796
9.0%
n 9957
 
6.5%
e 9378
 
6.1%
t 9360
 
6.1%
r 7240
 
4.7%
d 6556
 
4.3%
c 5602
 
3.6%
Other values (16) 26830
17.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 153572
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
30850
20.1%
o 19937
13.0%
3 14066
9.2%
- 13796
9.0%
n 9957
 
6.5%
e 9378
 
6.1%
t 9360
 
6.1%
r 7240
 
4.7%
d 6556
 
4.3%
c 5602
 
3.6%
Other values (16) 26830
17.5%
Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size56.7 KiB
34 - 5 - Concordo totalmente
2938 
34 - 4 - Concordo
2238 
34 - 3 - Indiferente
822 
0 - Sem resposta
684 
34 - 2 - Discordo
458 

Length

Max length28
Median length20
Mean length21.861878
Min length16

Characters and Unicode

Total characters158280
Distinct characters26
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0 - Sem resposta
2nd row0 - Sem resposta
3rd row34 - 4 - Concordo
4th row34 - 4 - Concordo
5th row34 - 4 - Concordo

Common Values

ValueCountFrequency (%)
34 - 5 - Concordo totalmente 2938
40.6%
34 - 4 - Concordo 2238
30.9%
34 - 3 - Indiferente 822
 
11.4%
0 - Sem resposta 684
 
9.4%
34 - 2 - Discordo 458
 
6.3%
34 - 1 - Discordo totalmente 100
 
1.4%

Length

2024-06-13T17:37:40.218710image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-13T17:37:40.357058image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
13796
35.8%
34 6556
17.0%
concordo 5176
 
13.4%
totalmente 3038
 
7.9%
5 2938
 
7.6%
4 2238
 
5.8%
3 822
 
2.1%
indiferente 822
 
2.1%
0 684
 
1.8%
sem 684
 
1.8%
Other values (4) 1800
 
4.7%

Most occurring characters

ValueCountFrequency (%)
31314
19.8%
o 20366
12.9%
- 13796
8.7%
t 10620
 
6.7%
e 9910
 
6.3%
n 9858
 
6.2%
4 8794
 
5.6%
3 7378
 
4.7%
r 7240
 
4.6%
d 6556
 
4.1%
Other values (16) 32448
20.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 158280
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
31314
19.8%
o 20366
12.9%
- 13796
8.7%
t 10620
 
6.7%
e 9910
 
6.3%
n 9858
 
6.2%
4 8794
 
5.6%
3 7378
 
4.7%
r 7240
 
4.6%
d 6556
 
4.1%
Other values (16) 32448
20.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 158280
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
31314
19.8%
o 20366
12.9%
- 13796
8.7%
t 10620
 
6.7%
e 9910
 
6.3%
n 9858
 
6.2%
4 8794
 
5.6%
3 7378
 
4.7%
r 7240
 
4.6%
d 6556
 
4.1%
Other values (16) 32448
20.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 158280
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
31314
19.8%
o 20366
12.9%
- 13796
8.7%
t 10620
 
6.7%
e 9910
 
6.3%
n 9858
 
6.2%
4 8794
 
5.6%
3 7378
 
4.7%
r 7240
 
4.6%
d 6556
 
4.1%
Other values (16) 32448
20.5%
Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size56.7 KiB
35 - 4 - Concordo
3069 
35 - 5 - Concordo totalmente
2915 
0 - Sem resposta
684 
35 - 3 - Indiferente
447 
35 - 2 - Discordo
 
103

Length

Max length28
Median length20
Mean length21.553039
Min length16

Characters and Unicode

Total characters156044
Distinct characters26
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0 - Sem resposta
2nd row0 - Sem resposta
3rd row35 - 5 - Concordo totalmente
4th row35 - 4 - Concordo
5th row35 - 4 - Concordo

Common Values

ValueCountFrequency (%)
35 - 4 - Concordo 3069
42.4%
35 - 5 - Concordo totalmente 2915
40.3%
0 - Sem resposta 684
 
9.4%
35 - 3 - Indiferente 447
 
6.2%
35 - 2 - Discordo 103
 
1.4%
35 - 1 - Discordo totalmente 22
 
0.3%

Length

2024-06-13T17:37:40.535694image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-13T17:37:40.701737image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
13796
35.9%
35 6556
17.0%
concordo 5984
15.6%
4 3069
 
8.0%
totalmente 2937
 
7.6%
5 2915
 
7.6%
0 684
 
1.8%
sem 684
 
1.8%
resposta 684
 
1.8%
3 447
 
1.2%
Other values (4) 697
 
1.8%

Most occurring characters

ValueCountFrequency (%)
31213
20.0%
o 21823
14.0%
- 13796
8.8%
t 9942
 
6.4%
n 9815
 
6.3%
5 9471
 
6.1%
e 8583
 
5.5%
r 7240
 
4.6%
3 7003
 
4.5%
d 6556
 
4.2%
Other values (16) 30602
19.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 156044
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
31213
20.0%
o 21823
14.0%
- 13796
8.8%
t 9942
 
6.4%
n 9815
 
6.3%
5 9471
 
6.1%
e 8583
 
5.5%
r 7240
 
4.6%
3 7003
 
4.5%
d 6556
 
4.2%
Other values (16) 30602
19.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 156044
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
31213
20.0%
o 21823
14.0%
- 13796
8.8%
t 9942
 
6.4%
n 9815
 
6.3%
5 9471
 
6.1%
e 8583
 
5.5%
r 7240
 
4.6%
3 7003
 
4.5%
d 6556
 
4.2%
Other values (16) 30602
19.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 156044
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
31213
20.0%
o 21823
14.0%
- 13796
8.8%
t 9942
 
6.4%
n 9815
 
6.3%
5 9471
 
6.1%
e 8583
 
5.5%
r 7240
 
4.6%
3 7003
 
4.5%
d 6556
 
4.2%
Other values (16) 30602
19.6%
Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size56.7 KiB
36 - 5 - Concordo totalmente
3144 
36 - 4 - Concordo
2932 
0 - Sem resposta
684 
36 - 3 - Indiferente
353 
36 - 2 - Discordo
 
112

Length

Max length28
Median length20
Mean length21.851381
Min length16

Characters and Unicode

Total characters158204
Distinct characters27
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0 - Sem resposta
2nd row0 - Sem resposta
3rd row36 - 4 - Concordo
4th row36 - 4 - Concordo
5th row36 - 4 - Concordo

Common Values

ValueCountFrequency (%)
36 - 5 - Concordo totalmente 3144
43.4%
36 - 4 - Concordo 2932
40.5%
0 - Sem resposta 684
 
9.4%
36 - 3 - Indiferente 353
 
4.9%
36 - 2 - Discordo 112
 
1.5%
36 - 1 - Discordo totalmente 15
 
0.2%

Length

2024-06-13T17:37:40.861145image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-13T17:37:41.026644image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
13796
35.7%
36 6556
17.0%
concordo 6076
15.7%
totalmente 3159
 
8.2%
5 3144
 
8.1%
4 2932
 
7.6%
0 684
 
1.8%
sem 684
 
1.8%
resposta 684
 
1.8%
3 353
 
0.9%
Other values (4) 607
 
1.6%

Most occurring characters

ValueCountFrequency (%)
31435
19.9%
o 22325
14.1%
- 13796
8.7%
t 10514
 
6.6%
n 9941
 
6.3%
e 8745
 
5.5%
r 7240
 
4.6%
3 6909
 
4.4%
d 6556
 
4.1%
6 6556
 
4.1%
Other values (17) 34187
21.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 158204
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
31435
19.9%
o 22325
14.1%
- 13796
8.7%
t 10514
 
6.6%
n 9941
 
6.3%
e 8745
 
5.5%
r 7240
 
4.6%
3 6909
 
4.4%
d 6556
 
4.1%
6 6556
 
4.1%
Other values (17) 34187
21.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 158204
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
31435
19.9%
o 22325
14.1%
- 13796
8.7%
t 10514
 
6.6%
n 9941
 
6.3%
e 8745
 
5.5%
r 7240
 
4.6%
3 6909
 
4.4%
d 6556
 
4.1%
6 6556
 
4.1%
Other values (17) 34187
21.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 158204
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
31435
19.9%
o 22325
14.1%
- 13796
8.7%
t 10514
 
6.6%
n 9941
 
6.3%
e 8745
 
5.5%
r 7240
 
4.6%
3 6909
 
4.4%
d 6556
 
4.1%
6 6556
 
4.1%
Other values (17) 34187
21.6%
Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size56.7 KiB
37 - 4 - Concordo
3371 
37 - 5 - Concordo totalmente
2133 
37 - 3 - Indiferente
840 
0 - Sem resposta
684 
37 - 2 - Discordo
 
198

Length

Max length28
Median length20
Mean length20.515608
Min length16

Characters and Unicode

Total characters148533
Distinct characters27
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0 - Sem resposta
2nd row0 - Sem resposta
3rd row37 - 4 - Concordo
4th row37 - 4 - Concordo
5th row37 - 4 - Concordo

Common Values

ValueCountFrequency (%)
37 - 4 - Concordo 3371
46.6%
37 - 5 - Concordo totalmente 2133
29.5%
37 - 3 - Indiferente 840
 
11.6%
0 - Sem resposta 684
 
9.4%
37 - 2 - Discordo 198
 
2.7%
37 - 1 - Discordo totalmente 14
 
0.2%

Length

2024-06-13T17:37:41.443947image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-13T17:37:41.593405image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
13796
36.6%
37 6556
17.4%
concordo 5504
 
14.6%
4 3371
 
9.0%
totalmente 2147
 
5.7%
5 2133
 
5.7%
3 840
 
2.2%
indiferente 840
 
2.2%
0 684
 
1.8%
sem 684
 
1.8%
Other values (4) 1108
 
2.9%

Most occurring characters

ValueCountFrequency (%)
30423
20.5%
o 19767
13.3%
- 13796
9.3%
n 9331
 
6.3%
e 8182
 
5.5%
t 7965
 
5.4%
3 7396
 
5.0%
r 7240
 
4.9%
d 6556
 
4.4%
7 6556
 
4.4%
Other values (17) 31321
21.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 148533
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
30423
20.5%
o 19767
13.3%
- 13796
9.3%
n 9331
 
6.3%
e 8182
 
5.5%
t 7965
 
5.4%
3 7396
 
5.0%
r 7240
 
4.9%
d 6556
 
4.4%
7 6556
 
4.4%
Other values (17) 31321
21.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 148533
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
30423
20.5%
o 19767
13.3%
- 13796
9.3%
n 9331
 
6.3%
e 8182
 
5.5%
t 7965
 
5.4%
3 7396
 
5.0%
r 7240
 
4.9%
d 6556
 
4.4%
7 6556
 
4.4%
Other values (17) 31321
21.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 148533
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
30423
20.5%
o 19767
13.3%
- 13796
9.3%
n 9331
 
6.3%
e 8182
 
5.5%
t 7965
 
5.4%
3 7396
 
5.0%
r 7240
 
4.9%
d 6556
 
4.4%
7 6556
 
4.4%
Other values (17) 31321
21.1%
Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size56.7 KiB
38 - 5 - Concordo totalmente
3569 
38 - 4 - Concordo
2430 
0 - Sem resposta
684 
38 - 3 - Indiferente
421 
38 - 2 - Discordo
 
117

Length

Max length28
Median length20
Mean length22.531354
Min length16

Characters and Unicode

Total characters163127
Distinct characters27
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0 - Sem resposta
2nd row0 - Sem resposta
3rd row38 - 5 - Concordo totalmente
4th row38 - 3 - Indiferente
5th row38 - 4 - Concordo

Common Values

ValueCountFrequency (%)
38 - 5 - Concordo totalmente 3569
49.3%
38 - 4 - Concordo 2430
33.6%
0 - Sem resposta 684
 
9.4%
38 - 3 - Indiferente 421
 
5.8%
38 - 2 - Discordo 117
 
1.6%
38 - 1 - Discordo totalmente 19
 
0.3%

Length

2024-06-13T17:37:41.787374image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-13T17:37:41.939674image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
13796
35.3%
38 6556
16.8%
concordo 5999
15.3%
totalmente 3588
 
9.2%
5 3569
 
9.1%
4 2430
 
6.2%
0 684
 
1.7%
sem 684
 
1.7%
resposta 684
 
1.7%
3 421
 
1.1%
Other values (4) 693
 
1.8%

Most occurring characters

ValueCountFrequency (%)
31864
19.5%
o 22541
13.8%
- 13796
 
8.5%
t 11869
 
7.3%
n 10429
 
6.4%
e 9807
 
6.0%
r 7240
 
4.4%
3 6977
 
4.3%
d 6556
 
4.0%
8 6556
 
4.0%
Other values (17) 35492
21.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 163127
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
31864
19.5%
o 22541
13.8%
- 13796
 
8.5%
t 11869
 
7.3%
n 10429
 
6.4%
e 9807
 
6.0%
r 7240
 
4.4%
3 6977
 
4.3%
d 6556
 
4.0%
8 6556
 
4.0%
Other values (17) 35492
21.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 163127
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
31864
19.5%
o 22541
13.8%
- 13796
 
8.5%
t 11869
 
7.3%
n 10429
 
6.4%
e 9807
 
6.0%
r 7240
 
4.4%
3 6977
 
4.3%
d 6556
 
4.0%
8 6556
 
4.0%
Other values (17) 35492
21.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 163127
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
31864
19.5%
o 22541
13.8%
- 13796
 
8.5%
t 11869
 
7.3%
n 10429
 
6.4%
e 9807
 
6.0%
r 7240
 
4.4%
3 6977
 
4.3%
d 6556
 
4.0%
8 6556
 
4.0%
Other values (17) 35492
21.8%
Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size56.7 KiB
39 - 5 - Concordo totalmente
4141 
39 - 4 - Concordo
2204 
0 - Sem resposta
684 
39 - 3 - Indiferente
 
189
39 - 2 - Discordo
 
17

Length

Max length28
Median length28
Mean length23.283011
Min length16

Characters and Unicode

Total characters168569
Distinct characters27
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0 - Sem resposta
2nd row0 - Sem resposta
3rd row39 - 5 - Concordo totalmente
4th row39 - 4 - Concordo
5th row39 - 4 - Concordo

Common Values

ValueCountFrequency (%)
39 - 5 - Concordo totalmente 4141
57.2%
39 - 4 - Concordo 2204
30.4%
0 - Sem resposta 684
 
9.4%
39 - 3 - Indiferente 189
 
2.6%
39 - 2 - Discordo 17
 
0.2%
39 - 1 - Discordo totalmente 5
 
0.1%

Length

2024-06-13T17:37:42.129162image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-13T17:37:42.276988image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
13796
34.8%
39 6556
16.5%
concordo 6345
16.0%
totalmente 4146
 
10.5%
5 4141
 
10.4%
4 2204
 
5.6%
0 684
 
1.7%
sem 684
 
1.7%
resposta 684
 
1.7%
3 189
 
0.5%
Other values (4) 233
 
0.6%

Most occurring characters

ValueCountFrequency (%)
32422
19.2%
o 23909
14.2%
- 13796
 
8.2%
t 13311
 
7.9%
n 10869
 
6.4%
e 10227
 
6.1%
r 7240
 
4.3%
3 6745
 
4.0%
d 6556
 
3.9%
9 6556
 
3.9%
Other values (17) 36938
21.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 168569
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
32422
19.2%
o 23909
14.2%
- 13796
 
8.2%
t 13311
 
7.9%
n 10869
 
6.4%
e 10227
 
6.1%
r 7240
 
4.3%
3 6745
 
4.0%
d 6556
 
3.9%
9 6556
 
3.9%
Other values (17) 36938
21.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 168569
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
32422
19.2%
o 23909
14.2%
- 13796
 
8.2%
t 13311
 
7.9%
n 10869
 
6.4%
e 10227
 
6.1%
r 7240
 
4.3%
3 6745
 
4.0%
d 6556
 
3.9%
9 6556
 
3.9%
Other values (17) 36938
21.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 168569
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
32422
19.2%
o 23909
14.2%
- 13796
 
8.2%
t 13311
 
7.9%
n 10869
 
6.4%
e 10227
 
6.1%
r 7240
 
4.3%
3 6745
 
4.0%
d 6556
 
3.9%
9 6556
 
3.9%
Other values (17) 36938
21.9%
Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size56.7 KiB
40 - 5 - Concordo totalmente
3564 
40 - 4 - Concordo
2625 
0 - Sem resposta
684 
40 - 3 - Indiferente
 
311
40 - 2 - Discordo
 
49

Length

Max length28
Median length20
Mean length22.459945
Min length16

Characters and Unicode

Total characters162610
Distinct characters26
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0 - Sem resposta
2nd row0 - Sem resposta
3rd row40 - 5 - Concordo totalmente
4th row40 - 4 - Concordo
5th row40 - 5 - Concordo totalmente

Common Values

ValueCountFrequency (%)
40 - 5 - Concordo totalmente 3564
49.2%
40 - 4 - Concordo 2625
36.3%
0 - Sem resposta 684
 
9.4%
40 - 3 - Indiferente 311
 
4.3%
40 - 2 - Discordo 49
 
0.7%
40 - 1 - Discordo totalmente 7
 
0.1%

Length

2024-06-13T17:37:42.450811image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-13T17:37:42.612768image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
13796
35.3%
40 6556
16.8%
concordo 6189
15.8%
totalmente 3571
 
9.1%
5 3564
 
9.1%
4 2625
 
6.7%
0 684
 
1.7%
sem 684
 
1.7%
resposta 684
 
1.7%
3 311
 
0.8%
Other values (4) 423
 
1.1%

Most occurring characters

ValueCountFrequency (%)
31847
19.6%
o 22934
14.1%
- 13796
8.5%
t 11708
 
7.2%
n 10382
 
6.4%
e 9443
 
5.8%
4 9181
 
5.6%
r 7240
 
4.5%
0 7240
 
4.5%
d 6556
 
4.0%
Other values (16) 32283
19.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 162610
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
31847
19.6%
o 22934
14.1%
- 13796
8.5%
t 11708
 
7.2%
n 10382
 
6.4%
e 9443
 
5.8%
4 9181
 
5.6%
r 7240
 
4.5%
0 7240
 
4.5%
d 6556
 
4.0%
Other values (16) 32283
19.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 162610
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
31847
19.6%
o 22934
14.1%
- 13796
8.5%
t 11708
 
7.2%
n 10382
 
6.4%
e 9443
 
5.8%
4 9181
 
5.6%
r 7240
 
4.5%
0 7240
 
4.5%
d 6556
 
4.0%
Other values (16) 32283
19.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 162610
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
31847
19.6%
o 22934
14.1%
- 13796
8.5%
t 11708
 
7.2%
n 10382
 
6.4%
e 9443
 
5.8%
4 9181
 
5.6%
r 7240
 
4.5%
0 7240
 
4.5%
d 6556
 
4.0%
Other values (16) 32283
19.9%
Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size56.7 KiB
41 - 4 - Concordo
2386 
41 - 5 - Concordo totalmente
2122 
41 - 3 - Indiferente
1730 
0 - Sem resposta
684 
41 - 2 - Discordo
243 

Length

Max length28
Median length20
Mean length20.960359
Min length16

Characters and Unicode

Total characters151753
Distinct characters26
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0 - Sem resposta
2nd row0 - Sem resposta
3rd row41 - 4 - Concordo
4th row41 - 3 - Indiferente
5th row41 - 4 - Concordo

Common Values

ValueCountFrequency (%)
41 - 4 - Concordo 2386
33.0%
41 - 5 - Concordo totalmente 2122
29.3%
41 - 3 - Indiferente 1730
23.9%
0 - Sem resposta 684
 
9.4%
41 - 2 - Discordo 243
 
3.4%
41 - 1 - Discordo totalmente 75
 
1.0%

Length

2024-06-13T17:37:42.792469image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-13T17:37:42.941564image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
13796
36.6%
41 6556
17.4%
concordo 4508
 
12.0%
4 2386
 
6.3%
totalmente 2197
 
5.8%
5 2122
 
5.6%
3 1730
 
4.6%
indiferente 1730
 
4.6%
0 684
 
1.8%
sem 684
 
1.8%
Other values (4) 1320
 
3.5%

Most occurring characters

ValueCountFrequency (%)
30473
20.1%
o 17041
11.2%
- 13796
9.1%
e 10952
 
7.2%
n 10165
 
6.7%
t 9005
 
5.9%
4 8942
 
5.9%
r 7240
 
4.8%
1 6631
 
4.4%
d 6556
 
4.3%
Other values (16) 30952
20.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 151753
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
30473
20.1%
o 17041
11.2%
- 13796
9.1%
e 10952
 
7.2%
n 10165
 
6.7%
t 9005
 
5.9%
4 8942
 
5.9%
r 7240
 
4.8%
1 6631
 
4.4%
d 6556
 
4.3%
Other values (16) 30952
20.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 151753
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
30473
20.1%
o 17041
11.2%
- 13796
9.1%
e 10952
 
7.2%
n 10165
 
6.7%
t 9005
 
5.9%
4 8942
 
5.9%
r 7240
 
4.8%
1 6631
 
4.4%
d 6556
 
4.3%
Other values (16) 30952
20.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 151753
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
30473
20.1%
o 17041
11.2%
- 13796
9.1%
e 10952
 
7.2%
n 10165
 
6.7%
t 9005
 
5.9%
4 8942
 
5.9%
r 7240
 
4.8%
1 6631
 
4.4%
d 6556
 
4.3%
Other values (16) 30952
20.4%
Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size56.7 KiB
42 - 5 - Concordo totalmente
4070 
42 - 4 - Concordo
2326 
0 - Sem resposta
684 
42 - 3 - Indiferente
 
135
42 - 2 - Discordo
 
23

Length

Max length28
Median length28
Mean length23.148204
Min length16

Characters and Unicode

Total characters167593
Distinct characters26
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0 - Sem resposta
2nd row0 - Sem resposta
3rd row42 - 4 - Concordo
4th row42 - 4 - Concordo
5th row42 - 4 - Concordo

Common Values

ValueCountFrequency (%)
42 - 5 - Concordo totalmente 4070
56.2%
42 - 4 - Concordo 2326
32.1%
0 - Sem resposta 684
 
9.4%
42 - 3 - Indiferente 135
 
1.9%
42 - 2 - Discordo 23
 
0.3%
42 - 1 - Discordo totalmente 2
 
< 0.1%

Length

2024-06-13T17:37:43.078084image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-13T17:37:43.203332image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
13796
34.8%
42 6556
16.6%
concordo 6396
16.2%
totalmente 4072
 
10.3%
5 4070
 
10.3%
4 2326
 
5.9%
0 684
 
1.7%
sem 684
 
1.7%
resposta 684
 
1.7%
3 135
 
0.3%
Other values (4) 185
 
0.5%

Most occurring characters

ValueCountFrequency (%)
32348
19.3%
o 23994
14.3%
- 13796
 
8.2%
t 13035
 
7.8%
n 10738
 
6.4%
e 9917
 
5.9%
4 8882
 
5.3%
r 7240
 
4.3%
2 6579
 
3.9%
d 6556
 
3.9%
Other values (16) 34508
20.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 167593
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
32348
19.3%
o 23994
14.3%
- 13796
 
8.2%
t 13035
 
7.8%
n 10738
 
6.4%
e 9917
 
5.9%
4 8882
 
5.3%
r 7240
 
4.3%
2 6579
 
3.9%
d 6556
 
3.9%
Other values (16) 34508
20.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 167593
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
32348
19.3%
o 23994
14.3%
- 13796
 
8.2%
t 13035
 
7.8%
n 10738
 
6.4%
e 9917
 
5.9%
4 8882
 
5.3%
r 7240
 
4.3%
2 6579
 
3.9%
d 6556
 
3.9%
Other values (16) 34508
20.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 167593
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
32348
19.3%
o 23994
14.3%
- 13796
 
8.2%
t 13035
 
7.8%
n 10738
 
6.4%
e 9917
 
5.9%
4 8882
 
5.3%
r 7240
 
4.3%
2 6579
 
3.9%
d 6556
 
3.9%
Other values (16) 34508
20.6%
Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size56.7 KiB
43 - 5 - Concordo totalmente
3556 
43 - 4 - Concordo
2843 
0 - Sem resposta
684 
43 - 3 - Indiferente
 
122
43 - 2 - Discordo
 
33

Length

Max length28
Median length20
Mean length22.361878
Min length16

Characters and Unicode

Total characters161900
Distinct characters26
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0 - Sem resposta
2nd row0 - Sem resposta
3rd row43 - 4 - Concordo
4th row43 - 4 - Concordo
5th row43 - 4 - Concordo

Common Values

ValueCountFrequency (%)
43 - 5 - Concordo totalmente 3556
49.1%
43 - 4 - Concordo 2843
39.3%
0 - Sem resposta 684
 
9.4%
43 - 3 - Indiferente 122
 
1.7%
43 - 2 - Discordo 33
 
0.5%
43 - 1 - Discordo totalmente 2
 
< 0.1%

Length

2024-06-13T17:37:43.366524image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-13T17:37:43.527199image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
13796
35.3%
43 6556
16.8%
concordo 6399
16.4%
totalmente 3558
 
9.1%
5 3556
 
9.1%
4 2843
 
7.3%
0 684
 
1.8%
sem 684
 
1.8%
resposta 684
 
1.8%
3 122
 
0.3%
Other values (4) 192
 
0.5%

Most occurring characters

ValueCountFrequency (%)
31834
19.7%
o 23509
14.5%
- 13796
8.5%
t 11480
 
7.1%
n 10201
 
6.3%
4 9399
 
5.8%
e 8850
 
5.5%
r 7240
 
4.5%
3 6678
 
4.1%
d 6556
 
4.0%
Other values (16) 32357
20.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 161900
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
31834
19.7%
o 23509
14.5%
- 13796
8.5%
t 11480
 
7.1%
n 10201
 
6.3%
4 9399
 
5.8%
e 8850
 
5.5%
r 7240
 
4.5%
3 6678
 
4.1%
d 6556
 
4.0%
Other values (16) 32357
20.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 161900
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
31834
19.7%
o 23509
14.5%
- 13796
8.5%
t 11480
 
7.1%
n 10201
 
6.3%
4 9399
 
5.8%
e 8850
 
5.5%
r 7240
 
4.5%
3 6678
 
4.1%
d 6556
 
4.0%
Other values (16) 32357
20.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 161900
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
31834
19.7%
o 23509
14.5%
- 13796
8.5%
t 11480
 
7.1%
n 10201
 
6.3%
4 9399
 
5.8%
e 8850
 
5.5%
r 7240
 
4.5%
3 6678
 
4.1%
d 6556
 
4.0%
Other values (16) 32357
20.0%
Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size56.7 KiB
44 - 4 - Concordo
2647 
44 - 5 - Concordo totalmente
1814 
44 - 3 - Indiferente
1617 
0 - Sem resposta
684 
44 - 2 - Discordo
414 

Length

Max length28
Median length20
Mean length20.428867
Min length16

Characters and Unicode

Total characters147905
Distinct characters26
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0 - Sem resposta
2nd row0 - Sem resposta
3rd row44 - 3 - Indiferente
4th row44 - 3 - Indiferente
5th row44 - 4 - Concordo

Common Values

ValueCountFrequency (%)
44 - 4 - Concordo 2647
36.6%
44 - 5 - Concordo totalmente 1814
25.1%
44 - 3 - Indiferente 1617
22.3%
0 - Sem resposta 684
 
9.4%
44 - 2 - Discordo 414
 
5.7%
44 - 1 - Discordo totalmente 64
 
0.9%

Length

2024-06-13T17:37:43.680488image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-13T17:37:43.805992image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
13796
36.9%
44 6556
17.5%
concordo 4461
 
11.9%
4 2647
 
7.1%
totalmente 1878
 
5.0%
5 1814
 
4.9%
3 1617
 
4.3%
indiferente 1617
 
4.3%
0 684
 
1.8%
sem 684
 
1.8%
Other values (4) 1640
 
4.4%

Most occurring characters

ValueCountFrequency (%)
30154
20.4%
o 16901
11.4%
4 15759
10.7%
- 13796
9.3%
e 9975
 
6.7%
n 9573
 
6.5%
t 7935
 
5.4%
r 7240
 
4.9%
d 6556
 
4.4%
c 4939
 
3.3%
Other values (16) 25077
17.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 147905
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
30154
20.4%
o 16901
11.4%
4 15759
10.7%
- 13796
9.3%
e 9975
 
6.7%
n 9573
 
6.5%
t 7935
 
5.4%
r 7240
 
4.9%
d 6556
 
4.4%
c 4939
 
3.3%
Other values (16) 25077
17.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 147905
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
30154
20.4%
o 16901
11.4%
4 15759
10.7%
- 13796
9.3%
e 9975
 
6.7%
n 9573
 
6.5%
t 7935
 
5.4%
r 7240
 
4.9%
d 6556
 
4.4%
c 4939
 
3.3%
Other values (16) 25077
17.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 147905
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
30154
20.4%
o 16901
11.4%
4 15759
10.7%
- 13796
9.3%
e 9975
 
6.7%
n 9573
 
6.5%
t 7935
 
5.4%
r 7240
 
4.9%
d 6556
 
4.4%
c 4939
 
3.3%
Other values (16) 25077
17.0%
Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size56.7 KiB
45 - 4 - Concordo
3397 
45 - 5 - Concordo totalmente
2442 
0 - Sem resposta
684 
45 - 3 - Indiferente
618 
45 - 2 - Discordo
 
88

Length

Max length28
Median length20
Mean length20.888536
Min length16

Characters and Unicode

Total characters151233
Distinct characters26
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0 - Sem resposta
2nd row0 - Sem resposta
3rd row45 - 5 - Concordo totalmente
4th row45 - 4 - Concordo
5th row45 - 4 - Concordo

Common Values

ValueCountFrequency (%)
45 - 4 - Concordo 3397
46.9%
45 - 5 - Concordo totalmente 2442
33.7%
0 - Sem resposta 684
 
9.4%
45 - 3 - Indiferente 618
 
8.5%
45 - 2 - Discordo 88
 
1.2%
45 - 1 - Discordo totalmente 11
 
0.2%

Length

2024-06-13T17:37:43.965939image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-13T17:37:44.106203image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
13796
36.3%
45 6556
17.3%
concordo 5839
15.4%
4 3397
 
8.9%
totalmente 2453
 
6.5%
5 2442
 
6.4%
0 684
 
1.8%
sem 684
 
1.8%
resposta 684
 
1.8%
3 618
 
1.6%
Other values (4) 816
 
2.1%

Most occurring characters

ValueCountFrequency (%)
30729
20.3%
o 20852
13.8%
- 13796
9.1%
4 9953
 
6.6%
n 9528
 
6.3%
5 8998
 
5.9%
t 8661
 
5.7%
e 8128
 
5.4%
r 7240
 
4.8%
d 6556
 
4.3%
Other values (16) 26792
17.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 151233
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
30729
20.3%
o 20852
13.8%
- 13796
9.1%
4 9953
 
6.6%
n 9528
 
6.3%
5 8998
 
5.9%
t 8661
 
5.7%
e 8128
 
5.4%
r 7240
 
4.8%
d 6556
 
4.3%
Other values (16) 26792
17.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 151233
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
30729
20.3%
o 20852
13.8%
- 13796
9.1%
4 9953
 
6.6%
n 9528
 
6.3%
5 8998
 
5.9%
t 8661
 
5.7%
e 8128
 
5.4%
r 7240
 
4.8%
d 6556
 
4.3%
Other values (16) 26792
17.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 151233
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
30729
20.3%
o 20852
13.8%
- 13796
9.1%
4 9953
 
6.6%
n 9528
 
6.3%
5 8998
 
5.9%
t 8661
 
5.7%
e 8128
 
5.4%
r 7240
 
4.8%
d 6556
 
4.3%
Other values (16) 26792
17.7%
Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size56.7 KiB
46 - 4 - Concordo
2448 
46 - 5 - Concordo totalmente
2400 
46 - 3 - Indiferente
902 
0 - Sem resposta
684 
46 - 2 - Discordo
677 

Length

Max length28
Median length20
Mean length21.121685
Min length16

Characters and Unicode

Total characters152921
Distinct characters27
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0 - Sem resposta
2nd row0 - Sem resposta
3rd row46 - 3 - Indiferente
4th row46 - 3 - Indiferente
5th row46 - 4 - Concordo

Common Values

ValueCountFrequency (%)
46 - 4 - Concordo 2448
33.8%
46 - 5 - Concordo totalmente 2400
33.1%
46 - 3 - Indiferente 902
 
12.5%
0 - Sem resposta 684
 
9.4%
46 - 2 - Discordo 677
 
9.4%
46 - 1 - Discordo totalmente 129
 
1.8%

Length

2024-06-13T17:37:44.313458image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-13T17:37:44.501676image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
13796
36.3%
46 6556
17.2%
concordo 4848
 
12.7%
totalmente 2529
 
6.6%
4 2448
 
6.4%
5 2400
 
6.3%
3 902
 
2.4%
indiferente 902
 
2.4%
discordo 806
 
2.1%
0 684
 
1.8%
Other values (4) 2174
 
5.7%

Most occurring characters

ValueCountFrequency (%)
30805
20.1%
o 19369
12.7%
- 13796
9.0%
n 9181
 
6.0%
t 9173
 
6.0%
e 9132
 
6.0%
4 9004
 
5.9%
r 7240
 
4.7%
d 6556
 
4.3%
6 6556
 
4.3%
Other values (17) 32109
21.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 152921
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
30805
20.1%
o 19369
12.7%
- 13796
9.0%
n 9181
 
6.0%
t 9173
 
6.0%
e 9132
 
6.0%
4 9004
 
5.9%
r 7240
 
4.7%
d 6556
 
4.3%
6 6556
 
4.3%
Other values (17) 32109
21.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 152921
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
30805
20.1%
o 19369
12.7%
- 13796
9.0%
n 9181
 
6.0%
t 9173
 
6.0%
e 9132
 
6.0%
4 9004
 
5.9%
r 7240
 
4.7%
d 6556
 
4.3%
6 6556
 
4.3%
Other values (17) 32109
21.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 152921
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
30805
20.1%
o 19369
12.7%
- 13796
9.0%
n 9181
 
6.0%
t 9173
 
6.0%
e 9132
 
6.0%
4 9004
 
5.9%
r 7240
 
4.7%
d 6556
 
4.3%
6 6556
 
4.3%
Other values (17) 32109
21.0%
Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size56.7 KiB
47 - 4 - Concordo
2069 
47 - 3 - Indiferente
1513 
47 - 2 - Discordo
1433 
47 - 5 - Concordo totalmente
1110 
0 - Sem resposta
684 

Length

Max length28
Median length20
Mean length19.873757
Min length16

Characters and Unicode

Total characters143886
Distinct characters27
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0 - Sem resposta
2nd row0 - Sem resposta
3rd row47 - 4 - Concordo
4th row47 - 2 - Discordo
5th row47 - 4 - Concordo

Common Values

ValueCountFrequency (%)
47 - 4 - Concordo 2069
28.6%
47 - 3 - Indiferente 1513
20.9%
47 - 2 - Discordo 1433
19.8%
47 - 5 - Concordo totalmente 1110
15.3%
0 - Sem resposta 684
 
9.4%
47 - 1 - Discordo totalmente 431
 
6.0%

Length

2024-06-13T17:37:44.668667image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-13T17:37:44.865083image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
13796
37.2%
47 6556
17.7%
concordo 3179
 
8.6%
4 2069
 
5.6%
discordo 1864
 
5.0%
totalmente 1541
 
4.2%
3 1513
 
4.1%
indiferente 1513
 
4.1%
2 1433
 
3.9%
5 1110
 
3.0%
Other values (4) 2483
 
6.7%

Most occurring characters

ValueCountFrequency (%)
29817
20.7%
o 15490
10.8%
- 13796
9.6%
e 8989
 
6.2%
4 8625
 
6.0%
n 7746
 
5.4%
r 7240
 
5.0%
t 6820
 
4.7%
7 6556
 
4.6%
d 6556
 
4.6%
Other values (17) 32251
22.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 143886
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
29817
20.7%
o 15490
10.8%
- 13796
9.6%
e 8989
 
6.2%
4 8625
 
6.0%
n 7746
 
5.4%
r 7240
 
5.0%
t 6820
 
4.7%
7 6556
 
4.6%
d 6556
 
4.6%
Other values (17) 32251
22.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 143886
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
29817
20.7%
o 15490
10.8%
- 13796
9.6%
e 8989
 
6.2%
4 8625
 
6.0%
n 7746
 
5.4%
r 7240
 
5.0%
t 6820
 
4.7%
7 6556
 
4.6%
d 6556
 
4.6%
Other values (17) 32251
22.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 143886
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
29817
20.7%
o 15490
10.8%
- 13796
9.6%
e 8989
 
6.2%
4 8625
 
6.0%
n 7746
 
5.4%
r 7240
 
5.0%
t 6820
 
4.7%
7 6556
 
4.6%
d 6556
 
4.6%
Other values (17) 32251
22.4%
Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size56.7 KiB
48 - 4 - Concordo
3555 
48 - 5 - Concordo totalmente
1881 
48 - 3 - Indiferente
899 
0 - Sem resposta
684 
48 - 2 - Discordo
 
193

Length

Max length28
Median length17
Mean length20.178453
Min length16

Characters and Unicode

Total characters146092
Distinct characters27
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0 - Sem resposta
2nd row0 - Sem resposta
3rd row48 - 4 - Concordo
4th row48 - 4 - Concordo
5th row48 - 4 - Concordo

Common Values

ValueCountFrequency (%)
48 - 4 - Concordo 3555
49.1%
48 - 5 - Concordo totalmente 1881
26.0%
48 - 3 - Indiferente 899
 
12.4%
0 - Sem resposta 684
 
9.4%
48 - 2 - Discordo 193
 
2.7%
48 - 1 - Discordo totalmente 28
 
0.4%

Length

2024-06-13T17:37:45.050491image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-13T17:37:45.215762image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
13796
36.9%
48 6556
17.5%
concordo 5436
 
14.5%
4 3555
 
9.5%
totalmente 1909
 
5.1%
5 1881
 
5.0%
3 899
 
2.4%
indiferente 899
 
2.4%
0 684
 
1.8%
sem 684
 
1.8%
Other values (4) 1126
 
3.0%

Most occurring characters

ValueCountFrequency (%)
30185
20.7%
o 19343
13.2%
- 13796
9.4%
4 10111
 
6.9%
n 9143
 
6.3%
e 7883
 
5.4%
t 7310
 
5.0%
r 7240
 
5.0%
d 6556
 
4.5%
8 6556
 
4.5%
Other values (17) 27969
19.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 146092
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
30185
20.7%
o 19343
13.2%
- 13796
9.4%
4 10111
 
6.9%
n 9143
 
6.3%
e 7883
 
5.4%
t 7310
 
5.0%
r 7240
 
5.0%
d 6556
 
4.5%
8 6556
 
4.5%
Other values (17) 27969
19.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 146092
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
30185
20.7%
o 19343
13.2%
- 13796
9.4%
4 10111
 
6.9%
n 9143
 
6.3%
e 7883
 
5.4%
t 7310
 
5.0%
r 7240
 
5.0%
d 6556
 
4.5%
8 6556
 
4.5%
Other values (17) 27969
19.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 146092
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
30185
20.7%
o 19343
13.2%
- 13796
9.4%
4 10111
 
6.9%
n 9143
 
6.3%
e 7883
 
5.4%
t 7310
 
5.0%
r 7240
 
5.0%
d 6556
 
4.5%
8 6556
 
4.5%
Other values (17) 27969
19.1%
Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size56.7 KiB
49 - 4 - Concordo
3065 
49 - 5 - Concordo totalmente
2453 
49 - 3 - Indiferente
864 
0 - Sem resposta
684 
49 - 2 - Discordo
 
145

Length

Max length28
Median length20
Mean length21.03453
Min length16

Characters and Unicode

Total characters152290
Distinct characters27
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0 - Sem resposta
2nd row0 - Sem resposta
3rd row49 - 3 - Indiferente
4th row49 - 4 - Concordo
5th row49 - 4 - Concordo

Common Values

ValueCountFrequency (%)
49 - 4 - Concordo 3065
42.3%
49 - 5 - Concordo totalmente 2453
33.9%
49 - 3 - Indiferente 864
 
11.9%
0 - Sem resposta 684
 
9.4%
49 - 2 - Discordo 145
 
2.0%
49 - 1 - Discordo totalmente 29
 
0.4%

Length

2024-06-13T17:37:45.398043image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-13T17:37:45.519933image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
13796
36.3%
49 6556
17.3%
concordo 5518
 
14.5%
4 3065
 
8.1%
totalmente 2482
 
6.5%
5 2453
 
6.5%
3 864
 
2.3%
indiferente 864
 
2.3%
0 684
 
1.8%
sem 684
 
1.8%
Other values (4) 1032
 
2.7%

Most occurring characters

ValueCountFrequency (%)
30758
20.2%
o 20068
13.2%
- 13796
9.1%
n 9728
 
6.4%
4 9621
 
6.3%
t 8994
 
5.9%
e 8924
 
5.9%
r 7240
 
4.8%
d 6556
 
4.3%
9 6556
 
4.3%
Other values (17) 30049
19.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 152290
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
30758
20.2%
o 20068
13.2%
- 13796
9.1%
n 9728
 
6.4%
4 9621
 
6.3%
t 8994
 
5.9%
e 8924
 
5.9%
r 7240
 
4.8%
d 6556
 
4.3%
9 6556
 
4.3%
Other values (17) 30049
19.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 152290
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
30758
20.2%
o 20068
13.2%
- 13796
9.1%
n 9728
 
6.4%
4 9621
 
6.3%
t 8994
 
5.9%
e 8924
 
5.9%
r 7240
 
4.8%
d 6556
 
4.3%
9 6556
 
4.3%
Other values (17) 30049
19.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 152290
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
30758
20.2%
o 20068
13.2%
- 13796
9.1%
n 9728
 
6.4%
4 9621
 
6.3%
t 8994
 
5.9%
e 8924
 
5.9%
r 7240
 
4.8%
d 6556
 
4.3%
9 6556
 
4.3%
Other values (17) 30049
19.7%
Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size56.7 KiB
50 - 5 - Concordo totalmente
4437 
50 - 4 - Concordo
1980 
0 - Sem resposta
684 
50 - 3 - Indiferente
 
127
50 - 2 - Discordo
 
7

Length

Max length28
Median length28
Mean length23.707044
Min length16

Characters and Unicode

Total characters171639
Distinct characters26
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0 - Sem resposta
2nd row0 - Sem resposta
3rd row50 - 5 - Concordo totalmente
4th row50 - 4 - Concordo
5th row50 - 5 - Concordo totalmente

Common Values

ValueCountFrequency (%)
50 - 5 - Concordo totalmente 4437
61.3%
50 - 4 - Concordo 1980
27.3%
0 - Sem resposta 684
 
9.4%
50 - 3 - Indiferente 127
 
1.8%
50 - 2 - Discordo 7
 
0.1%
50 - 1 - Discordo totalmente 5
 
0.1%

Length

2024-06-13T17:37:45.665875image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-13T17:37:45.795477image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
13796
34.5%
50 6556
16.4%
concordo 6417
16.1%
totalmente 4442
 
11.1%
5 4437
 
11.1%
4 1980
 
5.0%
0 684
 
1.7%
sem 684
 
1.7%
resposta 684
 
1.7%
3 127
 
0.3%
Other values (4) 151
 
0.4%

Most occurring characters

ValueCountFrequency (%)
32718
19.1%
o 24401
14.2%
t 14137
8.2%
- 13796
8.0%
n 11113
 
6.5%
5 10993
 
6.4%
e 10633
 
6.2%
0 7240
 
4.2%
r 7240
 
4.2%
d 6556
 
3.8%
Other values (16) 32812
19.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 171639
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
32718
19.1%
o 24401
14.2%
t 14137
8.2%
- 13796
8.0%
n 11113
 
6.5%
5 10993
 
6.4%
e 10633
 
6.2%
0 7240
 
4.2%
r 7240
 
4.2%
d 6556
 
3.8%
Other values (16) 32812
19.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 171639
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
32718
19.1%
o 24401
14.2%
t 14137
8.2%
- 13796
8.0%
n 11113
 
6.5%
5 10993
 
6.4%
e 10633
 
6.2%
0 7240
 
4.2%
r 7240
 
4.2%
d 6556
 
3.8%
Other values (16) 32812
19.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 171639
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
32718
19.1%
o 24401
14.2%
t 14137
8.2%
- 13796
8.0%
n 11113
 
6.5%
5 10993
 
6.4%
e 10633
 
6.2%
0 7240
 
4.2%
r 7240
 
4.2%
d 6556
 
3.8%
Other values (16) 32812
19.1%
Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size56.7 KiB
51 - 5 - Concordo totalmente
4476 
51 - 4 - Concordo
1971 
0 - Sem resposta
684 
51 - 3 - Indiferente
 
101
51 - 2 - Discordo
 
5

Length

Max length28
Median length28
Mean length23.752486
Min length16

Characters and Unicode

Total characters171968
Distinct characters26
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0 - Sem resposta
2nd row0 - Sem resposta
3rd row51 - 5 - Concordo totalmente
4th row51 - 4 - Concordo
5th row51 - 4 - Concordo

Common Values

ValueCountFrequency (%)
51 - 5 - Concordo totalmente 4476
61.8%
51 - 4 - Concordo 1971
27.2%
0 - Sem resposta 684
 
9.4%
51 - 3 - Indiferente 101
 
1.4%
51 - 2 - Discordo 5
 
0.1%
51 - 1 - Discordo totalmente 3
 
< 0.1%

Length

2024-06-13T17:37:45.973394image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-13T17:37:46.118002image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
13796
34.5%
51 6556
16.4%
concordo 6447
16.1%
totalmente 4479
 
11.2%
5 4476
 
11.2%
4 1971
 
4.9%
0 684
 
1.7%
sem 684
 
1.7%
resposta 684
 
1.7%
3 101
 
0.3%
Other values (4) 117
 
0.3%

Most occurring characters

ValueCountFrequency (%)
32755
19.0%
o 24520
14.3%
t 14222
8.3%
- 13796
8.0%
n 11128
 
6.5%
5 11032
 
6.4%
e 10629
 
6.2%
r 7240
 
4.2%
1 6559
 
3.8%
d 6556
 
3.8%
Other values (16) 33531
19.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 171968
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
32755
19.0%
o 24520
14.3%
t 14222
8.3%
- 13796
8.0%
n 11128
 
6.5%
5 11032
 
6.4%
e 10629
 
6.2%
r 7240
 
4.2%
1 6559
 
3.8%
d 6556
 
3.8%
Other values (16) 33531
19.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 171968
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
32755
19.0%
o 24520
14.3%
t 14222
8.3%
- 13796
8.0%
n 11128
 
6.5%
5 11032
 
6.4%
e 10629
 
6.2%
r 7240
 
4.2%
1 6559
 
3.8%
d 6556
 
3.8%
Other values (16) 33531
19.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 171968
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
32755
19.0%
o 24520
14.3%
t 14222
8.3%
- 13796
8.0%
n 11128
 
6.5%
5 11032
 
6.4%
e 10629
 
6.2%
r 7240
 
4.2%
1 6559
 
3.8%
d 6556
 
3.8%
Other values (16) 33531
19.5%
Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size56.7 KiB
52 - 3 - Indiferente
2312 
52 - 4 - Concordo
2235 
52 - 5 - Concordo totalmente
1595 
0 - Sem resposta
684 
52 - 2 - Discordo
324 

Length

Max length28
Median length20
Mean length20.423619
Min length16

Characters and Unicode

Total characters147867
Distinct characters26
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0 - Sem resposta
2nd row0 - Sem resposta
3rd row52 - 4 - Concordo
4th row52 - 4 - Concordo
5th row52 - 4 - Concordo

Common Values

ValueCountFrequency (%)
52 - 3 - Indiferente 2312
31.9%
52 - 4 - Concordo 2235
30.9%
52 - 5 - Concordo totalmente 1595
22.0%
0 - Sem resposta 684
 
9.4%
52 - 2 - Discordo 324
 
4.5%
52 - 1 - Discordo totalmente 90
 
1.2%

Length

2024-06-13T17:37:46.312282image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-13T17:37:46.469645image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
13796
37.1%
52 6556
17.6%
concordo 3830
 
10.3%
3 2312
 
6.2%
indiferente 2312
 
6.2%
4 2235
 
6.0%
totalmente 1685
 
4.5%
5 1595
 
4.3%
0 684
 
1.8%
sem 684
 
1.8%
Other values (4) 1512
 
4.1%

Most occurring characters

ValueCountFrequency (%)
29961
20.3%
o 14687
9.9%
- 13796
9.3%
e 11674
 
7.9%
n 10139
 
6.9%
5 8151
 
5.5%
t 8051
 
5.4%
r 7240
 
4.9%
2 6880
 
4.7%
d 6556
 
4.4%
Other values (16) 30732
20.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 147867
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
29961
20.3%
o 14687
9.9%
- 13796
9.3%
e 11674
 
7.9%
n 10139
 
6.9%
5 8151
 
5.5%
t 8051
 
5.4%
r 7240
 
4.9%
2 6880
 
4.7%
d 6556
 
4.4%
Other values (16) 30732
20.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 147867
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
29961
20.3%
o 14687
9.9%
- 13796
9.3%
e 11674
 
7.9%
n 10139
 
6.9%
5 8151
 
5.5%
t 8051
 
5.4%
r 7240
 
4.9%
2 6880
 
4.7%
d 6556
 
4.4%
Other values (16) 30732
20.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 147867
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
29961
20.3%
o 14687
9.9%
- 13796
9.3%
e 11674
 
7.9%
n 10139
 
6.9%
5 8151
 
5.5%
t 8051
 
5.4%
r 7240
 
4.9%
2 6880
 
4.7%
d 6556
 
4.4%
Other values (16) 30732
20.8%
Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size56.7 KiB
53 - 4 - Concordo
3063 
53 - 5 - Concordo totalmente
1905 
53 - 3 - Indiferente
1072 
0 - Sem resposta
684 
53 - 2 - Discordo
398 

Length

Max length28
Median length20
Mean length20.423343
Min length16

Characters and Unicode

Total characters147865
Distinct characters26
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0 - Sem resposta
2nd row0 - Sem resposta
3rd row53 - 5 - Concordo totalmente
4th row53 - 4 - Concordo
5th row53 - 4 - Concordo

Common Values

ValueCountFrequency (%)
53 - 4 - Concordo 3063
42.3%
53 - 5 - Concordo totalmente 1905
26.3%
53 - 3 - Indiferente 1072
 
14.8%
0 - Sem resposta 684
 
9.4%
53 - 2 - Discordo 398
 
5.5%
53 - 1 - Discordo totalmente 118
 
1.6%

Length

2024-06-13T17:37:46.638744image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-13T17:37:46.764425image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
13796
36.8%
53 6556
17.5%
concordo 4968
 
13.2%
4 3063
 
8.2%
totalmente 2023
 
5.4%
5 1905
 
5.1%
3 1072
 
2.9%
indiferente 1072
 
2.9%
0 684
 
1.8%
sem 684
 
1.8%
Other values (4) 1716
 
4.6%

Most occurring characters

ValueCountFrequency (%)
30299
20.5%
o 18643
12.6%
- 13796
9.3%
n 9135
 
6.2%
e 8630
 
5.8%
5 8461
 
5.7%
t 7825
 
5.3%
3 7628
 
5.2%
r 7240
 
4.9%
d 6556
 
4.4%
Other values (16) 29652
20.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 147865
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
30299
20.5%
o 18643
12.6%
- 13796
9.3%
n 9135
 
6.2%
e 8630
 
5.8%
5 8461
 
5.7%
t 7825
 
5.3%
3 7628
 
5.2%
r 7240
 
4.9%
d 6556
 
4.4%
Other values (16) 29652
20.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 147865
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
30299
20.5%
o 18643
12.6%
- 13796
9.3%
n 9135
 
6.2%
e 8630
 
5.8%
5 8461
 
5.7%
t 7825
 
5.3%
3 7628
 
5.2%
r 7240
 
4.9%
d 6556
 
4.4%
Other values (16) 29652
20.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 147865
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
30299
20.5%
o 18643
12.6%
- 13796
9.3%
n 9135
 
6.2%
e 8630
 
5.8%
5 8461
 
5.7%
t 7825
 
5.3%
3 7628
 
5.2%
r 7240
 
4.9%
d 6556
 
4.4%
Other values (16) 29652
20.1%
Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size56.7 KiB
54 - 5 - Concordo totalmente
3402 
54 - 4 - Concordo
3012 
0 - Sem resposta
684 
54 - 3 - Indiferente
 
124
54 - 2 - Discordo
 
14

Length

Max length28
Median length20
Mean length22.131768
Min length16

Characters and Unicode

Total characters160234
Distinct characters26
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0 - Sem resposta
2nd row0 - Sem resposta
3rd row54 - 5 - Concordo totalmente
4th row54 - 4 - Concordo
5th row54 - 4 - Concordo

Common Values

ValueCountFrequency (%)
54 - 5 - Concordo totalmente 3402
47.0%
54 - 4 - Concordo 3012
41.6%
0 - Sem resposta 684
 
9.4%
54 - 3 - Indiferente 124
 
1.7%
54 - 2 - Discordo 14
 
0.2%
54 - 1 - Discordo totalmente 4
 
0.1%

Length

2024-06-13T17:37:46.939920image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-13T17:37:47.084099image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
13796
35.4%
54 6556
16.8%
concordo 6414
16.5%
totalmente 3406
 
8.8%
5 3402
 
8.7%
4 3012
 
7.7%
0 684
 
1.8%
sem 684
 
1.8%
resposta 684
 
1.8%
3 124
 
0.3%
Other values (4) 160
 
0.4%

Most occurring characters

ValueCountFrequency (%)
31682
19.8%
o 23368
14.6%
- 13796
8.6%
t 11026
 
6.9%
n 10068
 
6.3%
5 9958
 
6.2%
4 9568
 
6.0%
e 8552
 
5.3%
r 7240
 
4.5%
d 6556
 
4.1%
Other values (16) 28420
17.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 160234
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
31682
19.8%
o 23368
14.6%
- 13796
8.6%
t 11026
 
6.9%
n 10068
 
6.3%
5 9958
 
6.2%
4 9568
 
6.0%
e 8552
 
5.3%
r 7240
 
4.5%
d 6556
 
4.1%
Other values (16) 28420
17.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 160234
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
31682
19.8%
o 23368
14.6%
- 13796
8.6%
t 11026
 
6.9%
n 10068
 
6.3%
5 9958
 
6.2%
4 9568
 
6.0%
e 8552
 
5.3%
r 7240
 
4.5%
d 6556
 
4.1%
Other values (16) 28420
17.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 160234
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
31682
19.8%
o 23368
14.6%
- 13796
8.6%
t 11026
 
6.9%
n 10068
 
6.3%
5 9958
 
6.2%
4 9568
 
6.0%
e 8552
 
5.3%
r 7240
 
4.5%
d 6556
 
4.1%
Other values (16) 28420
17.7%
Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size56.7 KiB
55 - 5 - Concordo totalmente
3534 
55 - 4 - Concordo
2701 
0 - Sem resposta
684 
55 - 3 - Indiferente
 
242
55 - 2 - Discordo
 
70

Length

Max length28
Median length20
Mean length22.388812
Min length16

Characters and Unicode

Total characters162095
Distinct characters26
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0 - Sem resposta
2nd row0 - Sem resposta
3rd row55 - 5 - Concordo totalmente
4th row55 - 4 - Concordo
5th row55 - 3 - Indiferente

Common Values

ValueCountFrequency (%)
55 - 5 - Concordo totalmente 3534
48.8%
55 - 4 - Concordo 2701
37.3%
0 - Sem resposta 684
 
9.4%
55 - 3 - Indiferente 242
 
3.3%
55 - 2 - Discordo 70
 
1.0%
55 - 1 - Discordo totalmente 9
 
0.1%

Length

2024-06-13T17:37:47.277747image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-13T17:37:47.455372image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
13796
35.3%
55 6556
16.8%
concordo 6235
16.0%
totalmente 3543
 
9.1%
5 3534
 
9.0%
4 2701
 
6.9%
0 684
 
1.8%
sem 684
 
1.8%
resposta 684
 
1.8%
3 242
 
0.6%
Other values (4) 400
 
1.0%

Most occurring characters

ValueCountFrequency (%)
31819
19.6%
o 23090
14.2%
5 16646
10.3%
- 13796
8.5%
t 11555
 
7.1%
n 10262
 
6.3%
e 9180
 
5.7%
r 7240
 
4.5%
d 6556
 
4.0%
c 6314
 
3.9%
Other values (16) 25637
15.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 162095
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
31819
19.6%
o 23090
14.2%
5 16646
10.3%
- 13796
8.5%
t 11555
 
7.1%
n 10262
 
6.3%
e 9180
 
5.7%
r 7240
 
4.5%
d 6556
 
4.0%
c 6314
 
3.9%
Other values (16) 25637
15.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 162095
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
31819
19.6%
o 23090
14.2%
5 16646
10.3%
- 13796
8.5%
t 11555
 
7.1%
n 10262
 
6.3%
e 9180
 
5.7%
r 7240
 
4.5%
d 6556
 
4.0%
c 6314
 
3.9%
Other values (16) 25637
15.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 162095
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
31819
19.6%
o 23090
14.2%
5 16646
10.3%
- 13796
8.5%
t 11555
 
7.1%
n 10262
 
6.3%
e 9180
 
5.7%
r 7240
 
4.5%
d 6556
 
4.0%
c 6314
 
3.9%
Other values (16) 25637
15.8%
Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size56.7 KiB
56 - 5 - Concordo totalmente
3622 
56 - 4 - Concordo
2696 
0 - Sem resposta
684 
56 - 3 - Indiferente
 
192
56 - 2 - Discordo
 
39

Length

Max length28
Median length28
Mean length22.498757
Min length16

Characters and Unicode

Total characters162891
Distinct characters27
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0 - Sem resposta
2nd row0 - Sem resposta
3rd row56 - 5 - Concordo totalmente
4th row56 - 4 - Concordo
5th row56 - 4 - Concordo

Common Values

ValueCountFrequency (%)
56 - 5 - Concordo totalmente 3622
50.0%
56 - 4 - Concordo 2696
37.2%
0 - Sem resposta 684
 
9.4%
56 - 3 - Indiferente 192
 
2.7%
56 - 2 - Discordo 39
 
0.5%
56 - 1 - Discordo totalmente 7
 
0.1%

Length

2024-06-13T17:37:47.624962image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-13T17:37:47.782058image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
13796
35.2%
56 6556
16.7%
concordo 6318
16.1%
totalmente 3629
 
9.3%
5 3622
 
9.3%
4 2696
 
6.9%
0 684
 
1.7%
sem 684
 
1.7%
resposta 684
 
1.7%
3 192
 
0.5%
Other values (4) 284
 
0.7%

Most occurring characters

ValueCountFrequency (%)
31905
19.6%
o 23359
14.3%
- 13796
8.5%
t 11763
 
7.2%
n 10331
 
6.3%
5 10178
 
6.2%
e 9202
 
5.6%
r 7240
 
4.4%
6 6556
 
4.0%
d 6556
 
4.0%
Other values (17) 32005
19.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 162891
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
31905
19.6%
o 23359
14.3%
- 13796
8.5%
t 11763
 
7.2%
n 10331
 
6.3%
5 10178
 
6.2%
e 9202
 
5.6%
r 7240
 
4.4%
6 6556
 
4.0%
d 6556
 
4.0%
Other values (17) 32005
19.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 162891
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
31905
19.6%
o 23359
14.3%
- 13796
8.5%
t 11763
 
7.2%
n 10331
 
6.3%
5 10178
 
6.2%
e 9202
 
5.6%
r 7240
 
4.4%
6 6556
 
4.0%
d 6556
 
4.0%
Other values (17) 32005
19.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 162891
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
31905
19.6%
o 23359
14.3%
- 13796
8.5%
t 11763
 
7.2%
n 10331
 
6.3%
5 10178
 
6.2%
e 9202
 
5.6%
r 7240
 
4.4%
6 6556
 
4.0%
d 6556
 
4.0%
Other values (17) 32005
19.6%
Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size56.7 KiB
57 - 5 - Concordo totalmente
3296 
57 - 4 - Concordo
2687 
0 - Sem resposta
684 
57 - 3 - Indiferente
514 
57 - 2 - Discordo
 
45

Length

Max length28
Median length20
Mean length22.147514
Min length16

Characters and Unicode

Total characters160348
Distinct characters27
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0 - Sem resposta
2nd row0 - Sem resposta
3rd row57 - 4 - Concordo
4th row57 - 4 - Concordo
5th row57 - 4 - Concordo

Common Values

ValueCountFrequency (%)
57 - 5 - Concordo totalmente 3296
45.5%
57 - 4 - Concordo 2687
37.1%
0 - Sem resposta 684
 
9.4%
57 - 3 - Indiferente 514
 
7.1%
57 - 2 - Discordo 45
 
0.6%
57 - 1 - Discordo totalmente 14
 
0.2%

Length

2024-06-13T17:37:47.948962image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-13T17:37:48.094104image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
13796
35.5%
57 6556
16.9%
concordo 5983
15.4%
totalmente 3310
 
8.5%
5 3296
 
8.5%
4 2687
 
6.9%
0 684
 
1.8%
sem 684
 
1.8%
resposta 684
 
1.8%
3 514
 
1.3%
Other values (4) 632
 
1.6%

Most occurring characters

ValueCountFrequency (%)
31586
19.7%
o 22061
13.8%
- 13796
8.6%
t 11128
 
6.9%
n 10321
 
6.4%
5 9852
 
6.1%
e 9530
 
5.9%
r 7240
 
4.5%
7 6556
 
4.1%
d 6556
 
4.1%
Other values (17) 31722
19.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 160348
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
31586
19.7%
o 22061
13.8%
- 13796
8.6%
t 11128
 
6.9%
n 10321
 
6.4%
5 9852
 
6.1%
e 9530
 
5.9%
r 7240
 
4.5%
7 6556
 
4.1%
d 6556
 
4.1%
Other values (17) 31722
19.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 160348
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
31586
19.7%
o 22061
13.8%
- 13796
8.6%
t 11128
 
6.9%
n 10321
 
6.4%
5 9852
 
6.1%
e 9530
 
5.9%
r 7240
 
4.5%
7 6556
 
4.1%
d 6556
 
4.1%
Other values (17) 31722
19.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 160348
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
31586
19.7%
o 22061
13.8%
- 13796
8.6%
t 11128
 
6.9%
n 10321
 
6.4%
5 9852
 
6.1%
e 9530
 
5.9%
r 7240
 
4.5%
7 6556
 
4.1%
d 6556
 
4.1%
Other values (17) 31722
19.8%
Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size56.7 KiB
58 - 5 - Concordo totalmente
3782 
58 - 4 - Concordo
2231 
0 - Sem resposta
684 
58 - 3 - Indiferente
442 
58 - 2 - Discordo
 
85

Length

Max length28
Median length28
Mean length22.859116
Min length16

Characters and Unicode

Total characters165500
Distinct characters27
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0 - Sem resposta
2nd row0 - Sem resposta
3rd row58 - 4 - Concordo
4th row58 - 4 - Concordo
5th row58 - 4 - Concordo

Common Values

ValueCountFrequency (%)
58 - 5 - Concordo totalmente 3782
52.2%
58 - 4 - Concordo 2231
30.8%
0 - Sem resposta 684
 
9.4%
58 - 3 - Indiferente 442
 
6.1%
58 - 2 - Discordo 85
 
1.2%
58 - 1 - Discordo totalmente 16
 
0.2%

Length

2024-06-13T17:37:48.294379image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-13T17:37:48.434906image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
13796
35.1%
58 6556
16.7%
concordo 6013
15.3%
totalmente 3798
 
9.7%
5 3782
 
9.6%
4 2231
 
5.7%
0 684
 
1.7%
sem 684
 
1.7%
resposta 684
 
1.7%
3 442
 
1.1%
Other values (4) 644
 
1.6%

Most occurring characters

ValueCountFrequency (%)
32074
19.4%
o 22723
13.7%
- 13796
8.3%
t 12520
 
7.6%
n 10695
 
6.5%
5 10338
 
6.2%
e 10290
 
6.2%
r 7240
 
4.4%
8 6556
 
4.0%
d 6556
 
4.0%
Other values (17) 32712
19.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 165500
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
32074
19.4%
o 22723
13.7%
- 13796
8.3%
t 12520
 
7.6%
n 10695
 
6.5%
5 10338
 
6.2%
e 10290
 
6.2%
r 7240
 
4.4%
8 6556
 
4.0%
d 6556
 
4.0%
Other values (17) 32712
19.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 165500
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
32074
19.4%
o 22723
13.7%
- 13796
8.3%
t 12520
 
7.6%
n 10695
 
6.5%
5 10338
 
6.2%
e 10290
 
6.2%
r 7240
 
4.4%
8 6556
 
4.0%
d 6556
 
4.0%
Other values (17) 32712
19.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 165500
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
32074
19.4%
o 22723
13.7%
- 13796
8.3%
t 12520
 
7.6%
n 10695
 
6.5%
5 10338
 
6.2%
e 10290
 
6.2%
r 7240
 
4.4%
8 6556
 
4.0%
d 6556
 
4.0%
Other values (17) 32712
19.8%
Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size56.7 KiB
59 - 4 - Concordo
2576 
59 - 3 - Indiferente
2036 
59 - 5 - Concordo totalmente
1139 
0 - Sem resposta
684 
59 - 2 - Discordo
684 

Length

Max length28
Median length20
Mean length19.663536
Min length16

Characters and Unicode

Total characters142364
Distinct characters27
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0 - Sem resposta
2nd row0 - Sem resposta
3rd row59 - 2 - Discordo
4th row59 - 4 - Concordo
5th row59 - 4 - Concordo

Common Values

ValueCountFrequency (%)
59 - 4 - Concordo 2576
35.6%
59 - 3 - Indiferente 2036
28.1%
59 - 5 - Concordo totalmente 1139
15.7%
0 - Sem resposta 684
 
9.4%
59 - 2 - Discordo 684
 
9.4%
59 - 1 - Discordo totalmente 121
 
1.7%

Length

2024-06-13T17:37:48.599927image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-13T17:37:48.765605image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
13796
37.5%
59 6556
17.8%
concordo 3715
 
10.1%
4 2576
 
7.0%
3 2036
 
5.5%
indiferente 2036
 
5.5%
totalmente 1260
 
3.4%
5 1139
 
3.1%
discordo 805
 
2.2%
0 684
 
1.9%
Other values (4) 2173
 
5.9%

Most occurring characters

ValueCountFrequency (%)
29536
20.7%
o 14699
10.3%
- 13796
9.7%
e 9996
 
7.0%
n 9047
 
6.4%
5 7695
 
5.4%
r 7240
 
5.1%
9 6556
 
4.6%
d 6556
 
4.6%
t 6500
 
4.6%
Other values (17) 30743
21.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 142364
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
29536
20.7%
o 14699
10.3%
- 13796
9.7%
e 9996
 
7.0%
n 9047
 
6.4%
5 7695
 
5.4%
r 7240
 
5.1%
9 6556
 
4.6%
d 6556
 
4.6%
t 6500
 
4.6%
Other values (17) 30743
21.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 142364
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
29536
20.7%
o 14699
10.3%
- 13796
9.7%
e 9996
 
7.0%
n 9047
 
6.4%
5 7695
 
5.4%
r 7240
 
5.1%
9 6556
 
4.6%
d 6556
 
4.6%
t 6500
 
4.6%
Other values (17) 30743
21.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 142364
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
29536
20.7%
o 14699
10.3%
- 13796
9.7%
e 9996
 
7.0%
n 9047
 
6.4%
5 7695
 
5.4%
r 7240
 
5.1%
9 6556
 
4.6%
d 6556
 
4.6%
t 6500
 
4.6%
Other values (17) 30743
21.6%
Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size56.7 KiB
60 - 2 - Discordo
2725 
60 - 3 - Indiferente
1798 
60 - 1 - Discordo totalmente
1066 
60 - 4 - Concordo
780 
0 - Sem resposta
684 

Length

Max length28
Median length20
Mean length19.554282
Min length16

Characters and Unicode

Total characters141573
Distinct characters27
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0 - Sem resposta
2nd row0 - Sem resposta
3rd row60 - 3 - Indiferente
4th row60 - 4 - Concordo
5th row60 - 3 - Indiferente

Common Values

ValueCountFrequency (%)
60 - 2 - Discordo 2725
37.6%
60 - 3 - Indiferente 1798
24.8%
60 - 1 - Discordo totalmente 1066
 
14.7%
60 - 4 - Concordo 780
 
10.8%
0 - Sem resposta 684
 
9.4%
60 - 5 - Concordo totalmente 187
 
2.6%

Length

2024-06-13T17:37:48.939377image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-13T17:37:49.072041image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
13796
37.5%
60 6556
17.8%
discordo 3791
 
10.3%
2 2725
 
7.4%
3 1798
 
4.9%
indiferente 1798
 
4.9%
totalmente 1253
 
3.4%
1 1066
 
2.9%
concordo 967
 
2.6%
4 780
 
2.1%
Other values (4) 2239
 
6.1%

Most occurring characters

ValueCountFrequency (%)
29529
20.9%
- 13796
 
9.7%
o 12420
 
8.8%
e 9268
 
6.5%
0 7240
 
5.1%
r 7240
 
5.1%
d 6556
 
4.6%
6 6556
 
4.6%
t 6241
 
4.4%
n 5816
 
4.1%
Other values (17) 36911
26.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 141573
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
29529
20.9%
- 13796
 
9.7%
o 12420
 
8.8%
e 9268
 
6.5%
0 7240
 
5.1%
r 7240
 
5.1%
d 6556
 
4.6%
6 6556
 
4.6%
t 6241
 
4.4%
n 5816
 
4.1%
Other values (17) 36911
26.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 141573
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
29529
20.9%
- 13796
 
9.7%
o 12420
 
8.8%
e 9268
 
6.5%
0 7240
 
5.1%
r 7240
 
5.1%
d 6556
 
4.6%
6 6556
 
4.6%
t 6241
 
4.4%
n 5816
 
4.1%
Other values (17) 36911
26.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 141573
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
29529
20.9%
- 13796
 
9.7%
o 12420
 
8.8%
e 9268
 
6.5%
0 7240
 
5.1%
r 7240
 
5.1%
d 6556
 
4.6%
6 6556
 
4.6%
t 6241
 
4.4%
n 5816
 
4.1%
Other values (17) 36911
26.1%
Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size56.7 KiB
61 - 4 - Concordo
4014 
61 - 5 - Concordo totalmente
1514 
61 - 3 - Indiferente
704 
0 - Sem resposta
684 
61 - 2 - Discordo
 
310

Length

Max length28
Median length17
Mean length19.518785
Min length16

Characters and Unicode

Total characters141316
Distinct characters27
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0 - Sem resposta
2nd row0 - Sem resposta
3rd row61 - 3 - Indiferente
4th row61 - 4 - Concordo
5th row61 - 4 - Concordo

Common Values

ValueCountFrequency (%)
61 - 4 - Concordo 4014
55.4%
61 - 5 - Concordo totalmente 1514
 
20.9%
61 - 3 - Indiferente 704
 
9.7%
0 - Sem resposta 684
 
9.4%
61 - 2 - Discordo 310
 
4.3%
61 - 1 - Discordo totalmente 14
 
0.2%

Length

2024-06-13T17:37:49.243042image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-13T17:37:49.803769image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
13796
37.2%
61 6556
17.7%
concordo 5528
14.9%
4 4014
 
10.8%
totalmente 1528
 
4.1%
5 1514
 
4.1%
3 704
 
1.9%
indiferente 704
 
1.9%
0 684
 
1.8%
sem 684
 
1.8%
Other values (4) 1332
 
3.6%

Most occurring characters

ValueCountFrequency (%)
29804
21.1%
o 19444
13.8%
- 13796
9.8%
n 8464
 
6.0%
r 7240
 
5.1%
1 6570
 
4.6%
6 6556
 
4.6%
d 6556
 
4.6%
e 6536
 
4.6%
t 5972
 
4.2%
Other values (17) 30378
21.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 141316
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
29804
21.1%
o 19444
13.8%
- 13796
9.8%
n 8464
 
6.0%
r 7240
 
5.1%
1 6570
 
4.6%
6 6556
 
4.6%
d 6556
 
4.6%
e 6536
 
4.6%
t 5972
 
4.2%
Other values (17) 30378
21.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 141316
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
29804
21.1%
o 19444
13.8%
- 13796
9.8%
n 8464
 
6.0%
r 7240
 
5.1%
1 6570
 
4.6%
6 6556
 
4.6%
d 6556
 
4.6%
e 6536
 
4.6%
t 5972
 
4.2%
Other values (17) 30378
21.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 141316
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
29804
21.1%
o 19444
13.8%
- 13796
9.8%
n 8464
 
6.0%
r 7240
 
5.1%
1 6570
 
4.6%
6 6556
 
4.6%
d 6556
 
4.6%
e 6536
 
4.6%
t 5972
 
4.2%
Other values (17) 30378
21.5%
Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size56.7 KiB
62 - 4 - Concordo
3661 
62 - 5 - Concordo totalmente
2197 
0 - Sem resposta
684 
62 - 3 - Indiferente
609 
62 - 2 - Discordo
 
80

Length

Max length28
Median length17
Mean length20.50953
Min length16

Characters and Unicode

Total characters148489
Distinct characters27
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0 - Sem resposta
2nd row0 - Sem resposta
3rd row62 - 4 - Concordo
4th row62 - 4 - Concordo
5th row62 - 4 - Concordo

Common Values

ValueCountFrequency (%)
62 - 4 - Concordo 3661
50.6%
62 - 5 - Concordo totalmente 2197
30.3%
0 - Sem resposta 684
 
9.4%
62 - 3 - Indiferente 609
 
8.4%
62 - 2 - Discordo 80
 
1.1%
62 - 1 - Discordo totalmente 9
 
0.1%

Length

2024-06-13T17:37:50.019311image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-13T17:37:50.182435image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
13796
36.6%
62 6556
17.4%
concordo 5858
15.5%
4 3661
 
9.7%
totalmente 2206
 
5.8%
5 2197
 
5.8%
0 684
 
1.8%
sem 684
 
1.8%
resposta 684
 
1.8%
3 609
 
1.6%
Other values (4) 787
 
2.1%

Most occurring characters

ValueCountFrequency (%)
30482
20.5%
o 20642
13.9%
- 13796
9.3%
n 9282
 
6.3%
t 7911
 
5.3%
e 7607
 
5.1%
r 7240
 
4.9%
2 6636
 
4.5%
6 6556
 
4.4%
d 6556
 
4.4%
Other values (17) 31781
21.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 148489
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
30482
20.5%
o 20642
13.9%
- 13796
9.3%
n 9282
 
6.3%
t 7911
 
5.3%
e 7607
 
5.1%
r 7240
 
4.9%
2 6636
 
4.5%
6 6556
 
4.4%
d 6556
 
4.4%
Other values (17) 31781
21.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 148489
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
30482
20.5%
o 20642
13.9%
- 13796
9.3%
n 9282
 
6.3%
t 7911
 
5.3%
e 7607
 
5.1%
r 7240
 
4.9%
2 6636
 
4.5%
6 6556
 
4.4%
d 6556
 
4.4%
Other values (17) 31781
21.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 148489
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
30482
20.5%
o 20642
13.9%
- 13796
9.3%
n 9282
 
6.3%
t 7911
 
5.3%
e 7607
 
5.1%
r 7240
 
4.9%
2 6636
 
4.5%
6 6556
 
4.4%
d 6556
 
4.4%
Other values (17) 31781
21.4%
Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size56.7 KiB
63 - 4 - Concordo
2160 
63 - 2 - Discordo
1674 
63 - 3 - Indiferente
1287 
63 - 5 - Concordo totalmente
1136 
0 - Sem resposta
684 

Length

Max length28
Median length17
Mean length19.619061
Min length16

Characters and Unicode

Total characters142042
Distinct characters27
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0 - Sem resposta
2nd row0 - Sem resposta
3rd row63 - 3 - Indiferente
4th row63 - 3 - Indiferente
5th row63 - 4 - Concordo

Common Values

ValueCountFrequency (%)
63 - 4 - Concordo 2160
29.8%
63 - 2 - Discordo 1674
23.1%
63 - 3 - Indiferente 1287
17.8%
63 - 5 - Concordo totalmente 1136
15.7%
0 - Sem resposta 684
 
9.4%
63 - 1 - Discordo totalmente 299
 
4.1%

Length

2024-06-13T17:37:50.345808image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-13T17:37:50.491427image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
13796
37.3%
63 6556
17.7%
concordo 3296
 
8.9%
4 2160
 
5.8%
discordo 1973
 
5.3%
2 1674
 
4.5%
totalmente 1435
 
3.9%
3 1287
 
3.5%
indiferente 1287
 
3.5%
5 1136
 
3.1%
Other values (4) 2351
 
6.4%

Most occurring characters

ValueCountFrequency (%)
29711
20.9%
o 15953
11.2%
- 13796
9.7%
e 8099
 
5.7%
3 7843
 
5.5%
n 7305
 
5.1%
r 7240
 
5.1%
6 6556
 
4.6%
d 6556
 
4.6%
t 6276
 
4.4%
Other values (17) 32707
23.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 142042
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
29711
20.9%
o 15953
11.2%
- 13796
9.7%
e 8099
 
5.7%
3 7843
 
5.5%
n 7305
 
5.1%
r 7240
 
5.1%
6 6556
 
4.6%
d 6556
 
4.6%
t 6276
 
4.4%
Other values (17) 32707
23.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 142042
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
29711
20.9%
o 15953
11.2%
- 13796
9.7%
e 8099
 
5.7%
3 7843
 
5.5%
n 7305
 
5.1%
r 7240
 
5.1%
6 6556
 
4.6%
d 6556
 
4.6%
t 6276
 
4.4%
Other values (17) 32707
23.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 142042
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
29711
20.9%
o 15953
11.2%
- 13796
9.7%
e 8099
 
5.7%
3 7843
 
5.5%
n 7305
 
5.1%
r 7240
 
5.1%
6 6556
 
4.6%
d 6556
 
4.6%
t 6276
 
4.4%
Other values (17) 32707
23.0%
Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size56.7 KiB
64 - 4 - Concordo
2088 
64 - 5 - Concordo totalmente
1521 
64 - 3 - Indiferente
1376 
64 - 2 - Discordo
1260 
0 - Sem resposta
684 

Length

Max length28
Median length20
Mean length20.259116
Min length16

Characters and Unicode

Total characters146676
Distinct characters27
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0 - Sem resposta
2nd row0 - Sem resposta
3rd row64 - 4 - Concordo
4th row64 - 2 - Discordo
5th row64 - 3 - Indiferente

Common Values

ValueCountFrequency (%)
64 - 4 - Concordo 2088
28.8%
64 - 5 - Concordo totalmente 1521
21.0%
64 - 3 - Indiferente 1376
19.0%
64 - 2 - Discordo 1260
17.4%
0 - Sem resposta 684
 
9.4%
64 - 1 - Discordo totalmente 311
 
4.3%

Length

2024-06-13T17:37:50.674265image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-13T17:37:50.826171image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
13796
36.9%
64 6556
17.6%
concordo 3609
 
9.7%
4 2088
 
5.6%
totalmente 1832
 
4.9%
discordo 1571
 
4.2%
5 1521
 
4.1%
3 1376
 
3.7%
indiferente 1376
 
3.7%
2 1260
 
3.4%
Other values (4) 2363
 
6.3%

Most occurring characters

ValueCountFrequency (%)
30108
20.5%
o 16485
11.2%
- 13796
9.4%
e 9160
 
6.2%
4 8644
 
5.9%
n 8193
 
5.6%
t 7556
 
5.2%
r 7240
 
4.9%
6 6556
 
4.5%
d 6556
 
4.5%
Other values (17) 32382
22.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 146676
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
30108
20.5%
o 16485
11.2%
- 13796
9.4%
e 9160
 
6.2%
4 8644
 
5.9%
n 8193
 
5.6%
t 7556
 
5.2%
r 7240
 
4.9%
6 6556
 
4.5%
d 6556
 
4.5%
Other values (17) 32382
22.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 146676
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
30108
20.5%
o 16485
11.2%
- 13796
9.4%
e 9160
 
6.2%
4 8644
 
5.9%
n 8193
 
5.6%
t 7556
 
5.2%
r 7240
 
4.9%
6 6556
 
4.5%
d 6556
 
4.5%
Other values (17) 32382
22.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 146676
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
30108
20.5%
o 16485
11.2%
- 13796
9.4%
e 9160
 
6.2%
4 8644
 
5.9%
n 8193
 
5.6%
t 7556
 
5.2%
r 7240
 
4.9%
6 6556
 
4.5%
d 6556
 
4.5%
Other values (17) 32382
22.1%
Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size56.7 KiB
65 - 4 - Concordo
2509 
65 - 3 - Indiferente
2282 
65 - 5 - Concordo totalmente
839 
65 - 2 - Discordo
794 
0 - Sem resposta
684 

Length

Max length28
Median length20
Mean length19.326381
Min length16

Characters and Unicode

Total characters139923
Distinct characters27
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0 - Sem resposta
2nd row0 - Sem resposta
3rd row65 - 2 - Discordo
4th row65 - 3 - Indiferente
5th row65 - 3 - Indiferente

Common Values

ValueCountFrequency (%)
65 - 4 - Concordo 2509
34.7%
65 - 3 - Indiferente 2282
31.5%
65 - 5 - Concordo totalmente 839
 
11.6%
65 - 2 - Discordo 794
 
11.0%
0 - Sem resposta 684
 
9.4%
65 - 1 - Discordo totalmente 132
 
1.8%

Length

2024-06-13T17:37:51.002182image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-13T17:37:51.133971image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
13796
37.8%
65 6556
18.0%
concordo 3348
 
9.2%
4 2509
 
6.9%
3 2282
 
6.3%
indiferente 2282
 
6.3%
totalmente 971
 
2.7%
discordo 926
 
2.5%
5 839
 
2.3%
2 794
 
2.2%
Other values (4) 2184
 
6.0%

Most occurring characters

ValueCountFrequency (%)
29247
20.9%
- 13796
9.9%
o 13551
9.7%
e 10156
 
7.3%
n 8883
 
6.3%
5 7395
 
5.3%
r 7240
 
5.2%
6 6556
 
4.7%
d 6556
 
4.7%
t 5879
 
4.2%
Other values (17) 30664
21.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 139923
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
29247
20.9%
- 13796
9.9%
o 13551
9.7%
e 10156
 
7.3%
n 8883
 
6.3%
5 7395
 
5.3%
r 7240
 
5.2%
6 6556
 
4.7%
d 6556
 
4.7%
t 5879
 
4.2%
Other values (17) 30664
21.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 139923
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
29247
20.9%
- 13796
9.9%
o 13551
9.7%
e 10156
 
7.3%
n 8883
 
6.3%
5 7395
 
5.3%
r 7240
 
5.2%
6 6556
 
4.7%
d 6556
 
4.7%
t 5879
 
4.2%
Other values (17) 30664
21.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 139923
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
29247
20.9%
- 13796
9.9%
o 13551
9.7%
e 10156
 
7.3%
n 8883
 
6.3%
5 7395
 
5.3%
r 7240
 
5.2%
6 6556
 
4.7%
d 6556
 
4.7%
t 5879
 
4.2%
Other values (17) 30664
21.9%

Target
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size56.7 KiB
1
4089 
0
3151 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters7240
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
1 4089
56.5%
0 3151
43.5%

Length

2024-06-13T17:37:51.306882image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-13T17:37:51.421108image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
1 4089
56.5%
0 3151
43.5%

Most occurring characters

ValueCountFrequency (%)
1 4089
56.5%
0 3151
43.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 7240
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 4089
56.5%
0 3151
43.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 7240
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 4089
56.5%
0 3151
43.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 7240
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 4089
56.5%
0 3151
43.5%

Interactions

2024-06-13T17:37:26.381912image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Missing values

2024-06-13T17:37:26.752043image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
A simple visualization of nullity by column.
2024-06-13T17:37:27.344707image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

Id_AgenteClienteVocê está trabalhando no Campus ou em Casa?Qual o tempo gasto no trajeto da sua residência até a empresa?Qual a sua escolaridade?Qual a sua área de estudo?Você possui dependentes?Quantos dependentes você possui?Qual seu conhecimento em inglês?Qual seu conhecimento em espanhol?Antes de trabalhar na empresa, você tinha experiência em Contact Center?Por quanto tempo você trabalhou em Contact Center?Qual área de atendimento você atua ou atuou por mais tempo?Em qual área você trabalhou?Você tem experiência anterior com vendas em outro segmento?Você possui disponibilidade pra trabalhar em casa?Você possui Desktop ou Notebook?Qual sistema operacional utiliza?Seu dispositivo possui Webcam?Você possui Headset USB?Você possui internet FIXA em casa?Qual a velocidade da sua internet?Pedir ajuda não é sinal de fraqueza.Não gosto de situações que requerem que eu me comporte de forma controlada.Gosto de dizer o que penso.Gosto de fazer as coisas do meu jeito e não ligo para o que possam pensar.Não gosto que deveres e responsabilidades que me façam sentir sob pressão.Não tenho medo de criticar pessoas em cargos de liderança.Gosto de me sentir livre para fazer o que bem entender.Gosto de trabalhar sozinho e independentemente.Gosto de realizar tarefas melhor do que os outros.Gostaria de ser líder em qualquer emprego, profissão, área ou especialidade.Gosto de realizar tarefas que, na opinião dos outros , requerem competência e esforço.Gosto de ser bem sucedido no que faço.Gosto de resolver problemas que são difíceis para os outros.Ouvir um “parabéns” é a melhor recompensa.A cada dia vejo o desafio de alcançar algo a mais.O objetivo de cada esforço é a satisfação total do cliente.Sempre tento atingir uma meta audaciosa.Gosto de ter tudo planejado com antecedência caso for viajar.Gosto de ter minhas coisas organizadas em minha mesa ou local de trabalho.Gosto de planejar antes de realizar algo difícil.Não quero que alterem meu horário com frequência.Muito pode ser alcançado com organização e ordem.Tenho ciência de quando realizei bem meu trabalho.Gosto de escrever as tarefas que tenho a fazer.Sinto-me seguro quando há procedimentos a serem seguidos.Sempre olho a data de validade do produto antes de comprá-lo.Uso algum tipo de agenda diariamente.Gosto de seguir instruções e fazer o que se espera de mim.Gosto de compartilhar.Gosto de ajudar as pessoas.Trato o próximo com gentileza e compaixão.Gosto de pessoas que me contam confidências e problemas.Perdoo as pessoas que às vezes me machucam.Entendo quando alguém precisa de ajuda.Se você ouvir alguém com atenção, você entenderá o porquê do humor dele.A maioria das pessoas precisam de algum tipo de apoio.É bom trabalhar com meus colegas de trabalho.Os melhores resultados vêm do trabalho em equipe.Baseio meu trabalho em relações interpessoais.Fico tenso quando estou trabalhando.Providencio soluções para os meus problemas com rapidez.Demonstro meu valor nas horas difíceis.Falta de tempo não me assusta.Pessoas fortes vêm de ambientes competitivos.Gosto de ter um trabalho exigente.Target
01Cliente 11 - Casa0 - Sem resposta3 - Ensino Superior incompleto4 - Humanas5 - Não0 - Sem resposta7 - Intermediário8 - Intermediário9 - Não0 - Sem resposta0 - Sem resposta12 - Administrativo13 - Não14 - Sim15 - Sim, cedido pela empresa16 - Windows 1017 - Não18 - Sim19 - Sim20 - Acima de 50 Mbps0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta1
12Cliente 21 - Casa0 - Sem resposta3 - Ensino Médio completo0 - Sem resposta5 - Não0 - Sem resposta7 - Não tenho conhecimento em inglês8 - Não tenho conhecimento em espanhol9 - Sim10 - De 6 meses até 1 ano11 - Atendimento Receptivo0 - Sem resposta13 - Sim14 - Sim15 - Sim, apenas eu uso16 - Windows 1017 - Sim18 - Sim19 - Sim20 - Acima de 50 Mbps0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta1
23Cliente 21 - Casa0 - Sem resposta3 - Ensino Superior cursando4 - Gestão de Pessoas/Negócios5 - Não0 - Sem resposta7 - Intermediário8 - Não tenho conhecimento em espanhol9 - Sim10 - Até 6 meses11 - Ativo de Vendas0 - Sem resposta13 - Não14 - Sim15 - Sim, apenas eu uso16 - Windows 1017 - Não18 - Sim19 - Sim20 - Acima de 50 Mbps21 - 4 - Concordo22 - 2 - Discordo23 - 2 - Discordo24 - 2 - Discordo25 - 3 - Indiferente26 - 3 - Indiferente27 - 4 - Concordo28 - 4 - Concordo29 - 4 - Concordo30 - 2 - Discordo31 - 4 - Concordo32 - 4 - Concordo33 - 4 - Concordo34 - 4 - Concordo35 - 5 - Concordo totalmente36 - 4 - Concordo37 - 4 - Concordo38 - 5 - Concordo totalmente39 - 5 - Concordo totalmente40 - 5 - Concordo totalmente41 - 4 - Concordo42 - 4 - Concordo43 - 4 - Concordo44 - 3 - Indiferente45 - 5 - Concordo totalmente46 - 3 - Indiferente47 - 4 - Concordo48 - 4 - Concordo49 - 3 - Indiferente50 - 5 - Concordo totalmente51 - 5 - Concordo totalmente52 - 4 - Concordo53 - 5 - Concordo totalmente54 - 5 - Concordo totalmente55 - 5 - Concordo totalmente56 - 5 - Concordo totalmente57 - 4 - Concordo58 - 4 - Concordo59 - 2 - Discordo60 - 3 - Indiferente61 - 3 - Indiferente62 - 4 - Concordo63 - 3 - Indiferente64 - 4 - Concordo65 - 2 - Discordo1
34Cliente 31 - Casa0 - Sem resposta3 - Ensino Superior concluído4 - Saúde5 - Não0 - Sem resposta7 - Básico8 - Não tenho conhecimento em espanhol9 - Não0 - Sem resposta0 - Sem resposta12 - Administrativo13 - Sim14 - Sim15 - Sim, apenas eu uso16 - Windows 1017 - Sim18 - Não19 - Sim20 - Acima de 50 Mbps21 - 5 - Concordo totalmente22 - 4 - Concordo23 - 4 - Concordo24 - 3 - Indiferente25 - 3 - Indiferente26 - 4 - Concordo27 - 3 - Indiferente28 - 3 - Indiferente29 - 3 - Indiferente30 - 2 - Discordo31 - 4 - Concordo32 - 4 - Concordo33 - 4 - Concordo34 - 4 - Concordo35 - 4 - Concordo36 - 4 - Concordo37 - 4 - Concordo38 - 3 - Indiferente39 - 4 - Concordo40 - 4 - Concordo41 - 3 - Indiferente42 - 4 - Concordo43 - 4 - Concordo44 - 3 - Indiferente45 - 4 - Concordo46 - 3 - Indiferente47 - 2 - Discordo48 - 4 - Concordo49 - 4 - Concordo50 - 4 - Concordo51 - 4 - Concordo52 - 4 - Concordo53 - 4 - Concordo54 - 4 - Concordo55 - 4 - Concordo56 - 4 - Concordo57 - 4 - Concordo58 - 4 - Concordo59 - 4 - Concordo60 - 4 - Concordo61 - 4 - Concordo62 - 4 - Concordo63 - 3 - Indiferente64 - 2 - Discordo65 - 3 - Indiferente0
45Cliente 41 - Casa0 - Sem resposta3 - Ensino Médio completo0 - Sem resposta5 - Não0 - Sem resposta7 - Avançado8 - Básico9 - Não0 - Sem resposta0 - Sem resposta12 - Administrativo13 - Sim14 - Sim15 - Sim, compartilhado com outras pessoas de casa16 - Windows 1017 - Não18 - Não19 - Sim20 - Acima de 50 Mbps21 - 4 - Concordo22 - 3 - Indiferente23 - 4 - Concordo24 - 2 - Discordo25 - 3 - Indiferente26 - 4 - Concordo27 - 2 - Discordo28 - 1 - Discordo totalmente29 - 4 - Concordo30 - 4 - Concordo31 - 4 - Concordo32 - 5 - Concordo totalmente33 - 5 - Concordo totalmente34 - 4 - Concordo35 - 4 - Concordo36 - 4 - Concordo37 - 4 - Concordo38 - 4 - Concordo39 - 4 - Concordo40 - 5 - Concordo totalmente41 - 4 - Concordo42 - 4 - Concordo43 - 4 - Concordo44 - 4 - Concordo45 - 4 - Concordo46 - 4 - Concordo47 - 4 - Concordo48 - 4 - Concordo49 - 4 - Concordo50 - 5 - Concordo totalmente51 - 4 - Concordo52 - 4 - Concordo53 - 4 - Concordo54 - 4 - Concordo55 - 3 - Indiferente56 - 4 - Concordo57 - 4 - Concordo58 - 4 - Concordo59 - 4 - Concordo60 - 3 - Indiferente61 - 4 - Concordo62 - 4 - Concordo63 - 4 - Concordo64 - 3 - Indiferente65 - 3 - Indiferente0
56Cliente 51 - Campus2 - De 1h à 1h303 - Ensino Médio completo0 - Sem resposta5 - Não0 - Sem resposta7 - Básico8 - Não tenho conhecimento em espanhol9 - Sim10 - Acima de 2 anos11 - Atendimento Receptivo0 - Sem resposta13 - Não14 - Sim15 - Sim, apenas eu uso16 - Windows 1017 - Sim18 - Sim19 - Sim20 - Acima de 50 Mbps21 - 5 - Concordo totalmente22 - 1 - Discordo totalmente23 - 4 - Concordo24 - 1 - Discordo totalmente25 - 1 - Discordo totalmente26 - 1 - Discordo totalmente27 - 1 - Discordo totalmente28 - 1 - Discordo totalmente29 - 1 - Discordo totalmente30 - 5 - Concordo totalmente31 - 5 - Concordo totalmente32 - 5 - Concordo totalmente33 - 5 - Concordo totalmente34 - 5 - Concordo totalmente35 - 5 - Concordo totalmente36 - 5 - Concordo totalmente37 - 5 - Concordo totalmente38 - 5 - Concordo totalmente39 - 5 - Concordo totalmente40 - 5 - Concordo totalmente41 - 5 - Concordo totalmente42 - 5 - Concordo totalmente43 - 5 - Concordo totalmente44 - 5 - Concordo totalmente45 - 5 - Concordo totalmente46 - 5 - Concordo totalmente47 - 3 - Indiferente48 - 5 - Concordo totalmente49 - 5 - Concordo totalmente50 - 5 - Concordo totalmente51 - 5 - Concordo totalmente52 - 5 - Concordo totalmente53 - 5 - Concordo totalmente54 - 5 - Concordo totalmente55 - 5 - Concordo totalmente56 - 5 - Concordo totalmente57 - 5 - Concordo totalmente58 - 5 - Concordo totalmente59 - 5 - Concordo totalmente60 - 3 - Indiferente61 - 4 - Concordo62 - 4 - Concordo63 - 2 - Discordo64 - 5 - Concordo totalmente65 - 3 - Indiferente1
67Cliente 41 - Campus2 - Acima de 2h3 - Ensino Médio completo0 - Sem resposta5 - Sim6 - 17 - Não tenho conhecimento em inglês8 - Não tenho conhecimento em espanhol9 - Sim10 - Acima de 2 anos11 - Receptivo de Vendas0 - Sem resposta13 - Não14 - Não15 - Não0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta21 - 3 - Indiferente22 - 3 - Indiferente23 - 3 - Indiferente24 - 3 - Indiferente25 - 3 - Indiferente26 - 3 - Indiferente27 - 3 - Indiferente28 - 3 - Indiferente29 - 3 - Indiferente30 - 3 - Indiferente31 - 3 - Indiferente32 - 3 - Indiferente33 - 3 - Indiferente34 - 3 - Indiferente35 - 3 - Indiferente36 - 3 - Indiferente37 - 3 - Indiferente38 - 3 - Indiferente39 - 3 - Indiferente40 - 3 - Indiferente41 - 3 - Indiferente42 - 3 - Indiferente43 - 3 - Indiferente44 - 3 - Indiferente45 - 3 - Indiferente46 - 3 - Indiferente47 - 3 - Indiferente48 - 3 - Indiferente49 - 3 - Indiferente50 - 3 - Indiferente51 - 3 - Indiferente52 - 3 - Indiferente53 - 3 - Indiferente54 - 3 - Indiferente55 - 3 - Indiferente56 - 3 - Indiferente57 - 3 - Indiferente58 - 3 - Indiferente59 - 3 - Indiferente60 - 3 - Indiferente61 - 3 - Indiferente62 - 3 - Indiferente63 - 3 - Indiferente64 - 3 - Indiferente65 - 3 - Indiferente0
78Cliente 21 - Casa0 - Sem resposta3 - Ensino Superior cursando4 - Administração/Negócios5 - Não0 - Sem resposta7 - Básico8 - Básico9 - Sim10 - Até 6 meses11 - Chat ou E-mail0 - Sem resposta13 - Sim14 - Sim15 - Sim, apenas eu uso16 - Windows 1017 - Sim18 - Sim19 - Sim20 - Acima de 50 Mbps21 - 5 - Concordo totalmente22 - 1 - Discordo totalmente23 - 5 - Concordo totalmente24 - 1 - Discordo totalmente25 - 1 - Discordo totalmente26 - 5 - Concordo totalmente27 - 1 - Discordo totalmente28 - 1 - Discordo totalmente29 - 1 - Discordo totalmente30 - 5 - Concordo totalmente31 - 5 - Concordo totalmente32 - 5 - Concordo totalmente33 - 5 - Concordo totalmente34 - 5 - Concordo totalmente35 - 5 - Concordo totalmente36 - 5 - Concordo totalmente37 - 5 - Concordo totalmente38 - 5 - Concordo totalmente39 - 5 - Concordo totalmente40 - 5 - Concordo totalmente41 - 4 - Concordo42 - 5 - Concordo totalmente43 - 5 - Concordo totalmente44 - 5 - Concordo totalmente45 - 5 - Concordo totalmente46 - 5 - Concordo totalmente47 - 5 - Concordo totalmente48 - 5 - Concordo totalmente49 - 5 - Concordo totalmente50 - 5 - Concordo totalmente51 - 5 - Concordo totalmente52 - 5 - Concordo totalmente53 - 5 - Concordo totalmente54 - 5 - Concordo totalmente55 - 5 - Concordo totalmente56 - 5 - Concordo totalmente57 - 5 - Concordo totalmente58 - 5 - Concordo totalmente59 - 5 - Concordo totalmente60 - 1 - Discordo totalmente61 - 5 - Concordo totalmente62 - 5 - Concordo totalmente63 - 5 - Concordo totalmente64 - 5 - Concordo totalmente65 - 5 - Concordo totalmente1
89Cliente 21 - Casa0 - Sem resposta3 - Ensino Médio completo0 - Sem resposta5 - Sim6 - 17 - Básico8 - Básico9 - Não0 - Sem resposta0 - Sem resposta12 - Hotelaria13 - Sim14 - Sim15 - Sim, compartilhado com outras pessoas de casa16 - Windows 1017 - Sim18 - Não19 - Sim20 - Acima de 50 Mbps21 - 5 - Concordo totalmente22 - 2 - Discordo23 - 3 - Indiferente24 - 2 - Discordo25 - 1 - Discordo totalmente26 - 2 - Discordo27 - 2 - Discordo28 - 1 - Discordo totalmente29 - 2 - Discordo30 - 3 - Indiferente31 - 4 - Concordo32 - 5 - Concordo totalmente33 - 3 - Indiferente34 - 5 - Concordo totalmente35 - 4 - Concordo36 - 4 - Concordo37 - 4 - Concordo38 - 5 - Concordo totalmente39 - 5 - Concordo totalmente40 - 5 - Concordo totalmente41 - 3 - Indiferente42 - 5 - Concordo totalmente43 - 4 - Concordo44 - 4 - Concordo45 - 4 - Concordo46 - 4 - Concordo47 - 3 - Indiferente48 - 4 - Concordo49 - 4 - Concordo50 - 4 - Concordo51 - 4 - Concordo52 - 4 - Concordo53 - 4 - Concordo54 - 4 - Concordo55 - 3 - Indiferente56 - 5 - Concordo totalmente57 - 5 - Concordo totalmente58 - 5 - Concordo totalmente59 - 4 - Concordo60 - 2 - Discordo61 - 3 - Indiferente62 - 4 - Concordo63 - 3 - Indiferente64 - 3 - Indiferente65 - 4 - Concordo1
910Cliente 61 - Campus2 - Até 30min3 - Ensino Médio completo0 - Sem resposta5 - Não0 - Sem resposta7 - Não tenho conhecimento em inglês8 - Não tenho conhecimento em espanhol9 - Sim10 - De 6 meses até 1 ano11 - Atendimento Receptivo0 - Sem resposta13 - Não14 - Não15 - Não0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta1
Id_AgenteClienteVocê está trabalhando no Campus ou em Casa?Qual o tempo gasto no trajeto da sua residência até a empresa?Qual a sua escolaridade?Qual a sua área de estudo?Você possui dependentes?Quantos dependentes você possui?Qual seu conhecimento em inglês?Qual seu conhecimento em espanhol?Antes de trabalhar na empresa, você tinha experiência em Contact Center?Por quanto tempo você trabalhou em Contact Center?Qual área de atendimento você atua ou atuou por mais tempo?Em qual área você trabalhou?Você tem experiência anterior com vendas em outro segmento?Você possui disponibilidade pra trabalhar em casa?Você possui Desktop ou Notebook?Qual sistema operacional utiliza?Seu dispositivo possui Webcam?Você possui Headset USB?Você possui internet FIXA em casa?Qual a velocidade da sua internet?Pedir ajuda não é sinal de fraqueza.Não gosto de situações que requerem que eu me comporte de forma controlada.Gosto de dizer o que penso.Gosto de fazer as coisas do meu jeito e não ligo para o que possam pensar.Não gosto que deveres e responsabilidades que me façam sentir sob pressão.Não tenho medo de criticar pessoas em cargos de liderança.Gosto de me sentir livre para fazer o que bem entender.Gosto de trabalhar sozinho e independentemente.Gosto de realizar tarefas melhor do que os outros.Gostaria de ser líder em qualquer emprego, profissão, área ou especialidade.Gosto de realizar tarefas que, na opinião dos outros , requerem competência e esforço.Gosto de ser bem sucedido no que faço.Gosto de resolver problemas que são difíceis para os outros.Ouvir um “parabéns” é a melhor recompensa.A cada dia vejo o desafio de alcançar algo a mais.O objetivo de cada esforço é a satisfação total do cliente.Sempre tento atingir uma meta audaciosa.Gosto de ter tudo planejado com antecedência caso for viajar.Gosto de ter minhas coisas organizadas em minha mesa ou local de trabalho.Gosto de planejar antes de realizar algo difícil.Não quero que alterem meu horário com frequência.Muito pode ser alcançado com organização e ordem.Tenho ciência de quando realizei bem meu trabalho.Gosto de escrever as tarefas que tenho a fazer.Sinto-me seguro quando há procedimentos a serem seguidos.Sempre olho a data de validade do produto antes de comprá-lo.Uso algum tipo de agenda diariamente.Gosto de seguir instruções e fazer o que se espera de mim.Gosto de compartilhar.Gosto de ajudar as pessoas.Trato o próximo com gentileza e compaixão.Gosto de pessoas que me contam confidências e problemas.Perdoo as pessoas que às vezes me machucam.Entendo quando alguém precisa de ajuda.Se você ouvir alguém com atenção, você entenderá o porquê do humor dele.A maioria das pessoas precisam de algum tipo de apoio.É bom trabalhar com meus colegas de trabalho.Os melhores resultados vêm do trabalho em equipe.Baseio meu trabalho em relações interpessoais.Fico tenso quando estou trabalhando.Providencio soluções para os meus problemas com rapidez.Demonstro meu valor nas horas difíceis.Falta de tempo não me assusta.Pessoas fortes vêm de ambientes competitivos.Gosto de ter um trabalho exigente.Target
72307231Cliente 61 - Campus2 - De 30min à 1h3 - Ensino Superior cursando4 - Gestão de Pessoas/Negócios5 - Não0 - Sem resposta7 - Não tenho conhecimento em inglês8 - Básico9 - Não0 - Sem resposta0 - Sem resposta12 - Comércio13 - Sim14 - Sim15 - Sim, apenas eu uso16 - Windows 1017 - Sim18 - Sim19 - Sim20 - Acima de 50 Mbps21 - 5 - Concordo totalmente22 - 3 - Indiferente23 - 5 - Concordo totalmente24 - 2 - Discordo25 - 2 - Discordo26 - 3 - Indiferente27 - 3 - Indiferente28 - 2 - Discordo29 - 2 - Discordo30 - 5 - Concordo totalmente31 - 5 - Concordo totalmente32 - 5 - Concordo totalmente33 - 5 - Concordo totalmente34 - 5 - Concordo totalmente35 - 5 - Concordo totalmente36 - 5 - Concordo totalmente37 - 5 - Concordo totalmente38 - 5 - Concordo totalmente39 - 5 - Concordo totalmente40 - 5 - Concordo totalmente41 - 5 - Concordo totalmente42 - 5 - Concordo totalmente43 - 5 - Concordo totalmente44 - 3 - Indiferente45 - 5 - Concordo totalmente46 - 5 - Concordo totalmente47 - 2 - Discordo48 - 5 - Concordo totalmente49 - 5 - Concordo totalmente50 - 5 - Concordo totalmente51 - 5 - Concordo totalmente52 - 4 - Concordo53 - 4 - Concordo54 - 5 - Concordo totalmente55 - 5 - Concordo totalmente56 - 5 - Concordo totalmente57 - 5 - Concordo totalmente58 - 5 - Concordo totalmente59 - 5 - Concordo totalmente60 - 2 - Discordo61 - 5 - Concordo totalmente62 - 5 - Concordo totalmente63 - 5 - Concordo totalmente64 - 2 - Discordo65 - 3 - Indiferente1
72317232Cliente 221 - Casa0 - Sem resposta3 - Ensino Médio completo0 - Sem resposta5 - Não0 - Sem resposta7 - Não tenho conhecimento em inglês8 - Não tenho conhecimento em espanhol9 - Sim10 - Acima de 2 anos11 - Backoffice0 - Sem resposta13 - Não14 - Sim15 - Sim, apenas eu uso16 - Windows 1017 - Sim18 - Sim19 - Sim20 - Acima de 50 Mbps21 - 5 - Concordo totalmente22 - 3 - Indiferente23 - 4 - Concordo24 - 2 - Discordo25 - 3 - Indiferente26 - 3 - Indiferente27 - 2 - Discordo28 - 3 - Indiferente29 - 3 - Indiferente30 - 3 - Indiferente31 - 4 - Concordo32 - 4 - Concordo33 - 3 - Indiferente34 - 4 - Concordo35 - 4 - Concordo36 - 4 - Concordo37 - 4 - Concordo38 - 4 - Concordo39 - 4 - Concordo40 - 4 - Concordo41 - 3 - Indiferente42 - 4 - Concordo43 - 4 - Concordo44 - 4 - Concordo45 - 4 - Concordo46 - 4 - Concordo47 - 3 - Indiferente48 - 4 - Concordo49 - 4 - Concordo50 - 3 - Indiferente51 - 4 - Concordo52 - 3 - Indiferente53 - 3 - Indiferente54 - 4 - Concordo55 - 4 - Concordo56 - 4 - Concordo57 - 4 - Concordo58 - 4 - Concordo59 - 3 - Indiferente60 - 3 - Indiferente61 - 4 - Concordo62 - 4 - Concordo63 - 3 - Indiferente64 - 4 - Concordo65 - 4 - Concordo1
72327233Cliente 51 - Campus2 - De 30min à 1h3 - Ensino Médio completo0 - Sem resposta5 - Não0 - Sem resposta7 - Intermediário8 - Intermediário9 - Não0 - Sem resposta0 - Sem resposta12 - Logística13 - Não14 - Sim15 - Sim, apenas eu uso16 - Windows 1017 - Não18 - Não19 - Sim20 - Acima de 50 Mbps21 - 5 - Concordo totalmente22 - 2 - Discordo23 - 4 - Concordo24 - 3 - Indiferente25 - 2 - Discordo26 - 2 - Discordo27 - 2 - Discordo28 - 3 - Indiferente29 - 1 - Discordo totalmente30 - 4 - Concordo31 - 4 - Concordo32 - 4 - Concordo33 - 3 - Indiferente34 - 5 - Concordo totalmente35 - 4 - Concordo36 - 4 - Concordo37 - 4 - Concordo38 - 4 - Concordo39 - 4 - Concordo40 - 4 - Concordo41 - 2 - Discordo42 - 4 - Concordo43 - 4 - Concordo44 - 3 - Indiferente45 - 4 - Concordo46 - 4 - Concordo47 - 2 - Discordo48 - 4 - Concordo49 - 4 - Concordo50 - 4 - Concordo51 - 4 - Concordo52 - 3 - Indiferente53 - 4 - Concordo54 - 4 - Concordo55 - 4 - Concordo56 - 4 - Concordo57 - 4 - Concordo58 - 4 - Concordo59 - 4 - Concordo60 - 3 - Indiferente61 - 4 - Concordo62 - 4 - Concordo63 - 4 - Concordo64 - 4 - Concordo65 - 3 - Indiferente1
72337234Cliente 141 - Casa0 - Sem resposta3 - Ensino Superior cursando4 - Direito5 - Não0 - Sem resposta7 - Intermediário8 - Básico9 - Sim10 - Até 6 meses11 - Cobrança0 - Sem resposta13 - Não14 - Sim15 - Sim, apenas eu uso16 - Windows 1017 - Não18 - Sim19 - Sim20 - Acima de 50 Mbps21 - 2 - Discordo22 - 1 - Discordo totalmente23 - 3 - Indiferente24 - 2 - Discordo25 - 1 - Discordo totalmente26 - 2 - Discordo27 - 3 - Indiferente28 - 3 - Indiferente29 - 4 - Concordo30 - 5 - Concordo totalmente31 - 4 - Concordo32 - 5 - Concordo totalmente33 - 5 - Concordo totalmente34 - 3 - Indiferente35 - 5 - Concordo totalmente36 - 5 - Concordo totalmente37 - 5 - Concordo totalmente38 - 4 - Concordo39 - 4 - Concordo40 - 4 - Concordo41 - 4 - Concordo42 - 4 - Concordo43 - 4 - Concordo44 - 4 - Concordo45 - 4 - Concordo46 - 5 - Concordo totalmente47 - 4 - Concordo48 - 4 - Concordo49 - 3 - Indiferente50 - 5 - Concordo totalmente51 - 4 - Concordo52 - 3 - Indiferente53 - 3 - Indiferente54 - 4 - Concordo55 - 4 - Concordo56 - 4 - Concordo57 - 4 - Concordo58 - 4 - Concordo59 - 3 - Indiferente60 - 2 - Discordo61 - 4 - Concordo62 - 3 - Indiferente63 - 4 - Concordo64 - 4 - Concordo65 - 4 - Concordo0
72347235Cliente 411 - Casa0 - Sem resposta3 - Ensino Médio completo0 - Sem resposta5 - Sim6 - 17 - Não tenho conhecimento em inglês8 - Não tenho conhecimento em espanhol9 - Sim10 - De 1 ano até 2 anos11 - Atendimento Receptivo0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0
72357236Cliente 61 - Campus2 - Até 30min3 - Ensino Superior cursando4 - Humanas5 - Não0 - Sem resposta7 - Fluente8 - Não tenho conhecimento em espanhol9 - Não0 - Sem resposta0 - Sem resposta12 - Administrativo13 - Não14 - Sim15 - Sim, apenas eu uso16 - Windows 1017 - Sim18 - Sim19 - Sim20 - Acima de 50 Mbps21 - 5 - Concordo totalmente22 - 2 - Discordo23 - 2 - Discordo24 - 1 - Discordo totalmente25 - 2 - Discordo26 - 2 - Discordo27 - 4 - Concordo28 - 2 - Discordo29 - 4 - Concordo30 - 4 - Concordo31 - 5 - Concordo totalmente32 - 5 - Concordo totalmente33 - 5 - Concordo totalmente34 - 4 - Concordo35 - 5 - Concordo totalmente36 - 5 - Concordo totalmente37 - 4 - Concordo38 - 5 - Concordo totalmente39 - 5 - Concordo totalmente40 - 5 - Concordo totalmente41 - 4 - Concordo42 - 5 - Concordo totalmente43 - 5 - Concordo totalmente44 - 5 - Concordo totalmente45 - 5 - Concordo totalmente46 - 4 - Concordo47 - 4 - Concordo48 - 4 - Concordo49 - 5 - Concordo totalmente50 - 5 - Concordo totalmente51 - 5 - Concordo totalmente52 - 3 - Indiferente53 - 4 - Concordo54 - 5 - Concordo totalmente55 - 4 - Concordo56 - 5 - Concordo totalmente57 - 4 - Concordo58 - 4 - Concordo59 - 4 - Concordo60 - 1 - Discordo totalmente61 - 5 - Concordo totalmente62 - 5 - Concordo totalmente63 - 2 - Discordo64 - 2 - Discordo65 - 4 - Concordo1
72367237Cliente 61 - Campus2 - Até 30min3 - Ensino Médio completo0 - Sem resposta5 - Sim6 - 3 ou mais7 - Não tenho conhecimento em inglês8 - Não tenho conhecimento em espanhol9 - Sim10 - Acima de 2 anos11 - Atendimento Receptivo0 - Sem resposta13 - Não14 - Sim15 - Sim, apenas eu uso16 - Windows 1017 - Sim18 - Sim19 - Sim20 - Acima de 50 Mbps21 - 5 - Concordo totalmente22 - 2 - Discordo23 - 4 - Concordo24 - 2 - Discordo25 - 1 - Discordo totalmente26 - 2 - Discordo27 - 2 - Discordo28 - 2 - Discordo29 - 2 - Discordo30 - 5 - Concordo totalmente31 - 4 - Concordo32 - 4 - Concordo33 - 4 - Concordo34 - 4 - Concordo35 - 4 - Concordo36 - 5 - Concordo totalmente37 - 4 - Concordo38 - 4 - Concordo39 - 4 - Concordo40 - 4 - Concordo41 - 4 - Concordo42 - 4 - Concordo43 - 4 - Concordo44 - 2 - Discordo45 - 4 - Concordo46 - 4 - Concordo47 - 2 - Discordo48 - 4 - Concordo49 - 4 - Concordo50 - 5 - Concordo totalmente51 - 5 - Concordo totalmente52 - 4 - Concordo53 - 4 - Concordo54 - 4 - Concordo55 - 4 - Concordo56 - 4 - Concordo57 - 5 - Concordo totalmente58 - 5 - Concordo totalmente59 - 3 - Indiferente60 - 2 - Discordo61 - 4 - Concordo62 - 4 - Concordo63 - 4 - Concordo64 - 4 - Concordo65 - 4 - Concordo1
72377238Cliente 171 - Campus2 - De 1h à 1h303 - Ensino Superior cursando4 - Exatas5 - Não0 - Sem resposta7 - Básico8 - Básico9 - A empresa é o meu primeiro emprego0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta14 - Não15 - Não0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta21 - 1 - Discordo totalmente22 - 3 - Indiferente23 - 4 - Concordo24 - 3 - Indiferente25 - 4 - Concordo26 - 5 - Concordo totalmente27 - 3 - Indiferente28 - 2 - Discordo29 - 1 - Discordo totalmente30 - 4 - Concordo31 - 3 - Indiferente32 - 5 - Concordo totalmente33 - 4 - Concordo34 - 4 - Concordo35 - 3 - Indiferente36 - 4 - Concordo37 - 3 - Indiferente38 - 2 - Discordo39 - 4 - Concordo40 - 3 - Indiferente41 - 4 - Concordo42 - 4 - Concordo43 - 4 - Concordo44 - 2 - Discordo45 - 4 - Concordo46 - 2 - Discordo47 - 1 - Discordo totalmente48 - 4 - Concordo49 - 3 - Indiferente50 - 5 - Concordo totalmente51 - 4 - Concordo52 - 4 - Concordo53 - 4 - Concordo54 - 4 - Concordo55 - 4 - Concordo56 - 4 - Concordo57 - 4 - Concordo58 - 4 - Concordo59 - 4 - Concordo60 - 2 - Discordo61 - 4 - Concordo62 - 3 - Indiferente63 - 2 - Discordo64 - 4 - Concordo65 - 3 - Indiferente1
72387239Cliente 61 - Campus2 - De 1h à 1h303 - Ensino Médio completo0 - Sem resposta5 - Não0 - Sem resposta7 - Intermediário8 - Não tenho conhecimento em espanhol9 - Sim10 - Acima de 2 anos11 - Backoffice0 - Sem resposta13 - Sim14 - Não15 - Não0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta0 - Sem resposta21 - 4 - Concordo22 - 2 - Discordo23 - 2 - Discordo24 - 2 - Discordo25 - 1 - Discordo totalmente26 - 2 - Discordo27 - 2 - Discordo28 - 1 - Discordo totalmente29 - 3 - Indiferente30 - 3 - Indiferente31 - 3 - Indiferente32 - 4 - Concordo33 - 4 - Concordo34 - 4 - Concordo35 - 4 - Concordo36 - 4 - Concordo37 - 4 - Concordo38 - 4 - Concordo39 - 4 - Concordo40 - 4 - Concordo41 - 3 - Indiferente42 - 4 - Concordo43 - 4 - Concordo44 - 4 - Concordo45 - 4 - Concordo46 - 4 - Concordo47 - 4 - Concordo48 - 4 - Concordo49 - 2 - Discordo50 - 4 - Concordo51 - 4 - Concordo52 - 4 - Concordo53 - 4 - Concordo54 - 4 - Concordo55 - 5 - Concordo totalmente56 - 5 - Concordo totalmente57 - 5 - Concordo totalmente58 - 5 - Concordo totalmente59 - 1 - Discordo totalmente60 - 2 - Discordo61 - 4 - Concordo62 - 4 - Concordo63 - 4 - Concordo64 - 4 - Concordo65 - 4 - Concordo1
72397240Cliente 171 - Campus2 - De 1h30 à 2h3 - Ensino Superior concluído4 - Gestão de Pessoas/Negócios5 - Não0 - Sem resposta7 - Não tenho conhecimento em inglês8 - Não tenho conhecimento em espanhol9 - Sim10 - De 1 ano até 2 anos11 - Atendimento Receptivo0 - Sem resposta13 - Não14 - Sim15 - Sim, apenas eu uso16 - Windows 717 - Sim18 - Não19 - Sim20 - Acima de 50 Mbps21 - 1 - Discordo totalmente22 - 3 - Indiferente23 - 5 - Concordo totalmente24 - 2 - Discordo25 - 2 - Discordo26 - 1 - Discordo totalmente27 - 2 - Discordo28 - 3 - Indiferente29 - 2 - Discordo30 - 4 - Concordo31 - 4 - Concordo32 - 5 - Concordo totalmente33 - 4 - Concordo34 - 5 - Concordo totalmente35 - 5 - Concordo totalmente36 - 5 - Concordo totalmente37 - 5 - Concordo totalmente38 - 5 - Concordo totalmente39 - 4 - Concordo40 - 5 - Concordo totalmente41 - 3 - Indiferente42 - 5 - Concordo totalmente43 - 5 - Concordo totalmente44 - 4 - Concordo45 - 4 - Concordo46 - 3 - Indiferente47 - 3 - Indiferente48 - 5 - Concordo totalmente49 - 5 - Concordo totalmente50 - 5 - Concordo totalmente51 - 5 - Concordo totalmente52 - 5 - Concordo totalmente53 - 5 - Concordo totalmente54 - 4 - Concordo55 - 5 - Concordo totalmente56 - 5 - Concordo totalmente57 - 5 - Concordo totalmente58 - 5 - Concordo totalmente59 - 2 - Discordo60 - 2 - Discordo61 - 4 - Concordo62 - 5 - Concordo totalmente63 - 2 - Discordo64 - 4 - Concordo65 - 4 - Concordo1